| control for country | 0.56 |
| use datum | 0.53 |
| control for year | 0.38 |
| control for industry | 0.38 |
| result controlling for … | 0.36 |
| result controlling for … | 0.36 |
| weight by student | 0.34 |
| fit datum | 0.32 |
| use the ranking of indu… | 0.32 |
| avoid making incorrect … | 0.29 |
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| significance | 0.29 |
| asymmetrical effect | 0.25 |
| significant | 0.64 |
| linear | 0.44 |
| correct | 0.39 |
| possible | 0.38 |
| helpful | 0.37 |
| strong | 0.34 |
| more subtle | 0.25 |
| low | 0.25 |
| simple | 0.25 |
| interesting | 0.25 |
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| table 3 model | 0.25 |
| attacker | 0.16 |
| reported in table | 0.70 |
| developed on full sample | 0.45 |
| caused by new features | 0.41 |
| biased | 0.41 |
| calculated | 0.41 |
| misinterpreted | 0.35 |
| shown in figure | 0.34 |
| weighted by mean county… | 0.34 |
| based on 76 cases | 0.32 |
| weighted | 0.32 |
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| prediction | 0.46 |