{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006953937,0.00007189954,0.0003473137,0.0000664941,0.00004565358,0.000003761792,0.00006513096,0.00003306398,0.00001148874],"category_scores_gemma":[0.0001185255,0.00003418038,0.00006604703,0.00006837874,0.00001906155,0.00004344013,0.00001415352,0.0001368314,6.923685e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008152307,"about_ca_system_score_gemma":0.001658733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3136443,"about_ca_topic_score_gemma":0.8089207,"domain_scores_codex":[0.9990138,0.00005749527,0.0005135142,0.0000676687,0.0001477724,0.0001997095],"domain_scores_gemma":[0.999252,0.0002328855,0.000272257,0.0000899524,0.00006620001,0.00008667323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009440201,0.00007392258,0.811493,0.0007646582,0.0000613768,0.00008780723,0.001960406,0.000005435184,0.0001460036,0.001244607,0.003579303,0.1796395],"study_design_scores_gemma":[0.004458683,0.0005629575,0.9747784,0.0004950278,0.00002313116,0.0001079697,0.00690551,0.00007369088,0.0001028028,0.0007508469,0.01165628,0.0000847567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8994483,0.003601742,0.002732629,0.09345093,0.0002561412,0.0004420994,0.00001684619,0.000005931465,0.0000453685],"genre_scores_gemma":[0.9963277,0.000305167,0.0003646706,0.002890792,0.00004538711,0.000003655354,8.76054e-7,0.000007307081,0.00005442313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4952763,"threshold_uncertainty_score":0.6909261,"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."}}