{"id":"W2947420497","doi":"10.1503/cjs.1962302","title":"Author response to “The road to gender equity in surgery is long”","year":2019,"lang":"en","type":"letter","venue":"Canadian Journal of Surgery","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Equity (law); Gender equity; Wish; Demographic economics; Law; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004912093,0.0007251346,0.001435881,0.0007642527,0.006973969,0.003482438,0.002030744,0.04758956,0.01128465],"category_scores_gemma":[0.04874025,0.0006509394,0.001138919,0.000818107,0.003315795,0.003208101,0.001634947,0.04516911,0.007193301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008218468,"about_ca_system_score_gemma":0.008848408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01642185,"about_ca_topic_score_gemma":0.0202031,"domain_scores_codex":[0.9945963,0.00192289,0.0005415099,0.0005429314,0.001530826,0.0008656427],"domain_scores_gemma":[0.9795812,0.01089924,0.001203454,0.0003455894,0.005614502,0.002355979],"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":[0.0000191064,0.000003922938,0.00009989789,0.00002809075,0.000002881756,0.0003582958,0.0001310722,0.00001110471,0.00003697089,0.0006357604,0.9973409,0.001332056],"study_design_scores_gemma":[0.00006202573,0.00004038648,0.0009779492,0.0006168248,0.00002293655,0.001808726,0.001197535,0.0002334627,0.0002335533,0.003968839,0.9907547,0.00008315116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00009307201,0.0004795298,0.00002699336,0.9829634,0.01532813,0.000005530848,0.00002537197,0.00001328615,0.00106469],"genre_scores_gemma":[0.001888456,0.0003214168,0.00005327427,0.9805043,0.01401534,0.00002148285,0.00001166552,0.00001302276,0.003170975],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04758956,"threshold_uncertainty_score":0.05962944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1973615896805351,"score_gpt":0.3503259925366394,"score_spread":0.1529644028561043,"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."}}