{"id":"W1519416606","doi":"10.25011/cim.v30i4.2793","title":"33. How to steal a body","year":2007,"lang":"en","type":"article","venue":"Clinical and investigative medicine","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coffin; Graduation (instrument); Law; Psychology; Medicine; Engineering; Anatomy; Political science; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001539547,0.0001808875,0.0006469749,0.0001067792,0.00006248365,0.000006371761,0.00008028758,0.000144598,0.00009594749],"category_scores_gemma":[0.003369112,0.0001105629,0.00007650315,0.0002608097,0.003924211,0.00005954192,0.00008202653,0.0004178347,0.00002058268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001922998,"about_ca_system_score_gemma":0.00005160129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003230315,"about_ca_topic_score_gemma":0.0000121534,"domain_scores_codex":[0.9984889,0.00005014825,0.0005347927,0.0003677699,0.0002637469,0.0002946438],"domain_scores_gemma":[0.9982262,0.0002847846,0.00009969156,0.0002513178,0.000130994,0.001007076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002584705,0.0001481597,0.8196352,0.0001064451,0.000104684,0.0002633313,0.0009453558,2.14946e-8,0.005506649,0.03608915,0.08993658,0.04700599],"study_design_scores_gemma":[0.001755696,0.003280327,0.8151195,0.0003482683,0.00009696068,0.00004522976,0.0004010905,0.00001947312,0.001791071,0.009782561,0.167214,0.0001458497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7684111,0.0002384541,0.004438118,0.21685,0.0003998397,0.0005714734,0.00000341768,0.0001709546,0.008916651],"genre_scores_gemma":[0.949335,0.00008106633,0.007705126,0.03468542,0.00126893,0.000008192772,0.00001153912,0.00001870974,0.006886056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1821646,"threshold_uncertainty_score":0.9987865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1910735417881446,"score_gpt":0.4214880899701701,"score_spread":0.2304145481820254,"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."}}