{"id":"W3123431914","doi":"10.2139/ssrn.951801","title":"Drive and Talent","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004864661,0.0001634343,0.0002426202,0.001117731,0.001291011,0.002843296,0.0003709485,0.0007997207,0.04088014],"category_scores_gemma":[0.004725285,0.0001058767,0.0001331716,0.0008659525,0.0007887972,0.0009897754,0.001063997,0.000763149,0.003457318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005254561,"about_ca_system_score_gemma":0.00035892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002213297,"about_ca_topic_score_gemma":0.0034084,"domain_scores_codex":[0.9997359,0.0000741015,0.00001075192,0.00003641869,0.00006234149,0.00008048984],"domain_scores_gemma":[0.9973987,0.0007617807,0.0003770035,0.0001058691,0.0002685864,0.00108795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006862234,0.001429387,0.6608785,0.0002159949,0.000230691,0.0008683666,0.004724876,0.001700492,0.001239362,0.1311926,0.02438339,0.1724502],"study_design_scores_gemma":[0.00006687654,0.0005024655,0.8251854,0.0001207675,0.00008734897,0.001154294,0.008121273,0.002319379,0.0004617809,0.1139535,0.04797976,0.00004717934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8185856,0.002920795,0.0007298937,0.006924434,0.0001338232,0.00003048341,0.0008717509,0.00004998352,0.1697533],"genre_scores_gemma":[0.9824505,0.0003371625,0.0001318649,0.0002582531,0.00005011567,0.000007631695,0.0001074556,0.000007382459,0.01664962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04088014,"threshold_uncertainty_score":0.1367577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006828594520315112,"score_gpt":0.1921697746617517,"score_spread":0.1853411801414366,"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."}}