{"id":"W1539128827","doi":"","title":"Is medical school only for the rich","year":2000,"lang":"en","type":"article","venue":"PubMed Central","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dozen; Face (sociological concept); Medical education; Medical school; Data science; Computer science; Medicine; Sociology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001433252,0.0001622174,0.0002267271,0.00002434724,0.001032655,0.00001485762,0.0005050472,0.000304797,0.04171472],"category_scores_gemma":[0.001255954,0.0001058619,0.00009538656,0.0002240481,0.00008488502,0.00009011212,0.00005103665,0.0007441952,0.001431777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000461368,"about_ca_system_score_gemma":0.001504941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004301775,"about_ca_topic_score_gemma":0.0005072408,"domain_scores_codex":[0.9951335,0.0002320474,0.00052339,0.00029103,0.0005803294,0.003239722],"domain_scores_gemma":[0.9966582,0.0009303414,0.00008700043,0.0004072931,0.00006731442,0.001849827],"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":[0.0001939784,0.00006034672,0.1690233,0.0001112192,0.00003659922,0.000004061621,0.001557183,0.000005750961,1.26046e-7,0.002201213,0.6805601,0.1462461],"study_design_scores_gemma":[0.0008074167,0.00001661066,0.2682652,0.00007028945,0.00002052825,0.000002973293,0.0004795182,0.0002625608,0.000002506209,0.0004304358,0.7295499,0.00009196729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7243832,0.003290269,0.0002407305,0.1674293,0.006425343,0.008245724,0.0001681761,0.0004641558,0.08935303],"genre_scores_gemma":[0.7999234,0.001875971,0.0004382615,0.08596359,0.006800298,0.003045682,0.00004437515,0.00007067421,0.1018378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1461542,"threshold_uncertainty_score":0.9993457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04440305268893543,"score_gpt":0.3964342608253632,"score_spread":0.3520312081364278,"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."}}