{"id":"W4386532238","doi":"10.1130/ges02661.1","title":"Geoscience academic hiring networks reinforce historic patterns of inequity","year":2023,"lang":"en","type":"article","venue":"Geosphere","topic":"Radiology practices and education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Institution; Workforce; Disadvantage; Indigenous; Work (physics); Social network analysis; Underrepresented Minority; Quarter (Canadian coin); Political science; Sociology; Geography; Social science; Medicine; Medical education; Engineering; Law; Ecology; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003432257,0.00006966204,0.0001536106,0.0000301609,0.00005986102,0.00000351789,0.0001108726,0.0001203087,0.0001958163],"category_scores_gemma":[0.000184293,0.00006252321,0.00003921821,0.0003536031,0.00003691423,0.0001370764,0.00004847303,0.0002955349,0.00007247236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007662227,"about_ca_system_score_gemma":0.00005603301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004386025,"about_ca_topic_score_gemma":0.00001383559,"domain_scores_codex":[0.9992374,0.0000181867,0.0002039396,0.0001654497,0.0001332137,0.0002418572],"domain_scores_gemma":[0.9994242,0.00008272584,0.0001400607,0.0002291839,0.00004621625,0.00007767458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001187185,0.00005239773,0.8029014,0.0003030148,0.00004623749,0.00003432368,0.001483299,0.007258803,0.00154811,0.000683173,0.03999812,0.1455724],"study_design_scores_gemma":[0.0004363303,0.000190353,0.92986,0.0001477725,0.00007072674,0.00007345776,0.0005774255,0.02226866,0.0001274895,0.00007519916,0.04603294,0.0001396629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946665,0.000504314,0.001246271,0.001169849,0.0007647966,0.0001132647,0.00000120345,0.00007858943,0.001455189],"genre_scores_gemma":[0.9865977,0.0008424927,0.0001539536,0.0002923758,0.0003204878,0.000008417281,0.00002068883,0.00000853967,0.01175534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1454327,"threshold_uncertainty_score":0.2549622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0382176777699486,"score_gpt":0.3260942838392361,"score_spread":0.2878766060692875,"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."}}