{"id":"W2995159761","doi":"","title":"Aboriginal women: education and major fields of study","year":2012,"lang":"en","type":"article","venue":"","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; General partnership; Unemployment; Economic growth; Higher education; Political science; Population; Sociology; Demography; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.003108048,0.0002297517,0.0005252017,0.00289457,0.006540789,0.002596328,0.0009179403,0.0008375125,0.006289798],"category_scores_gemma":[0.005269776,0.000255396,0.0002471685,0.005635767,0.001635989,0.001343954,0.0022013,0.001040974,0.0008134406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007083928,"about_ca_system_score_gemma":0.02684752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3780325,"about_ca_topic_score_gemma":0.5204867,"domain_scores_codex":[0.9979733,0.0005779486,0.0000998668,0.00008631829,0.0003999803,0.0008627258],"domain_scores_gemma":[0.9964342,0.0005580952,0.000384468,0.00007783798,0.0008093033,0.001736099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002483184,0.0004314887,0.4165937,0.002792502,0.00004288866,0.0035295,0.3290096,0.00007013808,0.00138181,0.01360816,0.03920385,0.1930881],"study_design_scores_gemma":[0.00001401314,0.0002291988,0.547822,0.002975106,0.00002966985,0.0012117,0.360325,0.00005571062,0.0001355066,0.002151198,0.08501832,0.00003256477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7624374,0.07702675,0.000298983,0.06744399,0.001350696,0.0006199366,0.001802022,0.00003847775,0.08898171],"genre_scores_gemma":[0.8748122,0.08611123,0.001144044,0.006340493,0.000772694,0.0006064036,0.0006460584,0.00002631965,0.02954076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3780325,"threshold_uncertainty_score":0.7516642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02914562550424779,"score_gpt":0.4812120794890425,"score_spread":0.4520664539847947,"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."}}