{"id":"W4213000824","doi":"10.3138/9781487519766-fm","title":"Frontmatter","year":2019,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ECW Press (Canada); University of Alberta","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001275807,0.0006295975,0.0003697673,0.001251779,0.003325102,0.003090122,0.0007649912,0.001083054,0.6368643],"category_scores_gemma":[0.0005712312,0.0002877709,0.00027036,0.001662126,0.0005678136,0.001190803,0.001203256,0.001126032,0.3507948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005970768,"about_ca_system_score_gemma":0.004414738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3705261,"about_ca_topic_score_gemma":0.7580165,"domain_scores_codex":[0.9997652,0.000007128605,0.000004011038,0.00002951126,0.0001391535,0.00005493699],"domain_scores_gemma":[0.9996816,0.00002482539,0.000008845311,0.00001711369,0.0001477267,0.000119923],"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":[0.00000945384,0.000005020025,0.0001131189,0.00004830933,6.298314e-7,0.00005459967,0.0001397337,0.00002550344,0.0001782178,0.003872784,0.9367948,0.05875781],"study_design_scores_gemma":[0.000001022894,0.000001641047,0.0003370992,0.00002829196,4.064139e-7,0.00002858468,0.00008009564,0.00001506295,0.00003117757,0.0001620393,0.9993128,0.00000185524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004887296,0.002587893,0.0001653279,0.001554888,0.001348628,0.00002085189,0.0007738398,0.0003156938,0.9927441],"genre_scores_gemma":[0.0007458216,0.0004477245,0.00005356836,0.0002577063,0.00005031193,0.000002036065,0.0001085722,0.00004465172,0.9982896],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3705261,"threshold_uncertainty_score":0.7367389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743551396248289,"score_gpt":0.2255881543021054,"score_spread":0.1981526403396225,"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."}}