{"id":"W2510001009","doi":"10.1353/hpu.2016.0110","title":"Inequality in Fetal Autopsy in Canada","year":2016,"lang":"en","type":"article","venue":"Journal of Health Care for the Poor and Underserved","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autopsy; Fetus; Medicine; Demography; Cause of death; Inequality; Pregnancy; Pathology; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001830967,0.0001580617,0.0002443106,0.002344892,0.002496514,0.001093434,0.0008521322,0.0003127807,0.002095663],"category_scores_gemma":[0.00943305,0.0001443523,0.0002883614,0.004175948,0.001131614,0.0004018247,0.001183019,0.0006709456,0.00007791939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0327043,"about_ca_system_score_gemma":0.03509941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887738,"about_ca_topic_score_gemma":0.9910895,"domain_scores_codex":[0.9974365,0.0003794865,0.0001826307,0.000260549,0.0008684756,0.0008723751],"domain_scores_gemma":[0.9910019,0.001267513,0.002688644,0.000267471,0.003039049,0.001735409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005950968,0.00001256394,0.9761251,0.00006697755,0.00004153237,0.0001656091,0.001310071,0.0004462803,0.0001052952,0.001430804,0.002428846,0.01780753],"study_design_scores_gemma":[0.000003182853,0.000008934871,0.9950841,0.0001569792,0.00001563376,0.0001217912,0.001245778,0.00050087,0.00007869901,0.0002251147,0.002543672,0.00001525305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652821,0.007069809,0.0009590235,0.008559958,0.00006164997,0.00005425658,0.00595013,0.00003098185,0.01203204],"genre_scores_gemma":[0.9966629,0.001585859,0.0002113931,0.000277644,0.00001611784,0.000009019803,0.0007974758,0.000005314416,0.0004343029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0327043,"threshold_uncertainty_score":0.2372874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04136377913836255,"score_gpt":0.3293077218691997,"score_spread":0.2879439427308371,"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."}}