{"id":"W1991484848","doi":"10.3386/w12490","title":"How Corruption Hits People When They Are Down","year":2006,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Language change; Business; Computer security; Advertising; Computer science; Art; Literature","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008933045,0.0002200121,0.0005400635,0.0008974971,0.000531231,0.0003725025,0.0006788633,0.0005480488,0.002860718],"category_scores_gemma":[0.001545543,0.000243656,0.0002219219,0.0001456054,0.0002800645,0.0003456891,0.0001815071,0.0006029967,0.0004931355],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007198176,"about_ca_system_score_gemma":0.009738298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02773826,"about_ca_topic_score_gemma":0.09702296,"domain_scores_codex":[0.9957623,0.0002920569,0.0006646143,0.0006079706,0.002082061,0.0005909551],"domain_scores_gemma":[0.995932,0.000664555,0.0006360649,0.0002724346,0.002313904,0.0001810179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005794597,0.0001901112,0.01752991,0.0001609217,0.0001872139,0.000004520869,0.002995766,0.0002770359,0.00001805603,0.1853114,0.7682711,0.024996],"study_design_scores_gemma":[0.0003214634,0.00002538424,0.01116248,0.0001041568,0.000009919611,0.000004517996,0.001565694,0.00007216004,0.00000599372,0.07705317,0.9093494,0.000325696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004873303,0.000250981,0.000009871696,0.008517842,0.001871647,0.0007273877,0.0001581834,0.00004325417,0.9835475],"genre_scores_gemma":[0.626942,0.001885658,0.0001506015,0.00003175806,0.002469108,0.0001554525,0.0007881552,0.00003794566,0.3675393],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6220687,"threshold_uncertainty_score":0.9980508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3747762841863398,"score_gpt":0.5041634109485262,"score_spread":0.1293871267621864,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}