{"id":"W2534324645","doi":"10.17613/m6js5x","title":"Data on Humanities Doctorate Recipients and Faculty Members by Race and Ethnicity","year":2010,"lang":"en","type":"article","venue":"Humanities Commons CORE (Modern Language Association / Columbia University)","topic":"Mentoring and Academic Development","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Race (biology); Ethnic group; Sociology; Humanities; Gender studies; Medicine; Anthropology; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006347186,0.000277454,0.0005700331,0.007348212,0.004008157,0.00132404,0.001077621,0.0006595225,0.01642098],"category_scores_gemma":[0.02269883,0.0003914105,0.0004722657,0.01010544,0.0009880662,0.001872745,0.002043109,0.001214397,0.005044182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086773,"about_ca_system_score_gemma":0.003086346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06371775,"about_ca_topic_score_gemma":0.1460169,"domain_scores_codex":[0.9946101,0.001272119,0.000595069,0.0004055942,0.001989888,0.001127221],"domain_scores_gemma":[0.9544231,0.009029068,0.01124999,0.003004784,0.01543132,0.006861708],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002858889,0.0002653725,0.8577412,0.0002257135,0.00007043377,0.0001161417,0.01193818,0.00007451274,0.0009044298,0.005851217,0.07925729,0.0432696],"study_design_scores_gemma":[0.0000180908,0.0001311373,0.9069373,0.0001599546,0.00006118142,0.0002255424,0.02252393,0.0001234359,0.0009865193,0.0007354961,0.06804645,0.0000509317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7827507,0.001346348,0.001519764,0.007160903,0.000630647,0.0004196074,0.09760617,0.0001444132,0.1084214],"genre_scores_gemma":[0.9011735,0.002055914,0.002019803,0.004369955,0.0004014486,0.001537443,0.0345471,0.00009507917,0.0537998],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9936528,"threshold_uncertainty_score":0.1266937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07226798400515261,"score_gpt":0.2995429368223158,"score_spread":0.2272749528171631,"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."}}