{"id":"W4235808468","doi":"10.1515/iupac.81.0511","title":"Lethal Body Burden (LBB)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Computer science; Biology; Data mining; Linguistics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005078401,0.0005909828,0.001236664,0.0002944062,0.00009089907,0.00003623074,0.0003899016,0.0007568571,0.008337351],"category_scores_gemma":[0.0005620042,0.0003948375,0.0004095165,0.0001634955,0.000188826,0.00006463912,0.0002481877,0.0008548137,0.0000111577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005717964,"about_ca_system_score_gemma":0.001055015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002612379,"about_ca_topic_score_gemma":0.00006753608,"domain_scores_codex":[0.9967183,0.00005482018,0.0006290372,0.0006304655,0.001375642,0.0005917203],"domain_scores_gemma":[0.997468,0.0000912105,0.0002921443,0.001371943,0.0004524199,0.0003243164],"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":[0.0002748846,0.0001329812,0.00004183068,0.0002860432,0.0001805565,0.0008099296,0.000008484789,3.598239e-8,0.00004015732,0.00002625117,0.9932652,0.004933682],"study_design_scores_gemma":[0.001652662,0.0006265786,0.0001905077,0.00103593,0.000433577,0.0002621393,0.00001441061,0.000002530867,0.00008999969,0.0001457391,0.9950815,0.0004644141],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001211966,0.0008341229,0.0003106249,0.004561482,0.0006303309,0.0006088999,0.9921865,0.0003116673,0.0004351196],"genre_scores_gemma":[0.00004859938,0.001313329,0.0003370738,0.001005679,0.003143518,0.00002414158,0.9875874,0.00008338597,0.006456888],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008326193,"threshold_uncertainty_score":0.9998503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153348374974645,"score_gpt":0.4256703614648829,"score_spread":0.4103355239674184,"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."}}