{"id":"W2128655287","doi":"10.5858/2008-132-66-hwdwca","title":"How well do we communicate autopsy findings to next of kin?","year":2008,"lang":"en","type":"article","venue":"PubMed","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Next of kin; Autopsy; Context (archaeology); Medicine; Family medicine; Telephone survey; Health care; Verbal autopsy; Cause of death; Pathology; Law; Disease; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01460795,0.0003025961,0.0004603491,0.0009256195,0.003119441,0.003556987,0.0009344657,0.003284767,0.002170277],"category_scores_gemma":[0.1825166,0.0002454869,0.0001927532,0.0008213291,0.003446814,0.008605221,0.001652231,0.00174665,0.0009208706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860578,"about_ca_system_score_gemma":0.003340658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004486862,"about_ca_topic_score_gemma":0.004330094,"domain_scores_codex":[0.9775932,0.01750121,0.001081136,0.0006494941,0.002041187,0.001133797],"domain_scores_gemma":[0.9229982,0.03835467,0.02251384,0.001462969,0.008938154,0.005732075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003339732,0.0002626997,0.4893414,0.001724765,0.0002628984,0.005056906,0.1068351,0.0004933959,0.000818583,0.002367795,0.0412785,0.3512239],"study_design_scores_gemma":[0.00008080513,0.0009814659,0.3417935,0.00748307,0.0003590142,0.02620436,0.5374986,0.002235618,0.001485842,0.01198338,0.06955998,0.0003344107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.730665,0.03277539,0.00411616,0.2203308,0.001577178,0.00009821093,0.0001691618,0.00009796145,0.01017022],"genre_scores_gemma":[0.9815594,0.008747365,0.001107238,0.007822106,0.000299481,0.00004797503,0.00004022395,0.00001530909,0.0003609686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01460795,"threshold_uncertainty_score":0.07725513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0588573412783475,"score_gpt":0.2663035761136056,"score_spread":0.2074462348352581,"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."}}