{"id":"W2327609179","doi":"10.1177/0300985815625757","title":"Veterinary Forensic Pathology","year":2016,"lang":"en","type":"review","venue":"Veterinary Pathology","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Forensic pathology; Witness; Medicine; Pathology; Autopsy; Computer science","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":[0.001009514,0.0007726159,0.000821979,0.004731723,0.0007768258,0.002092624,0.001020685,0.002039088,0.02336521],"category_scores_gemma":[0.003043417,0.0003386707,0.0006762739,0.00237822,0.001067784,0.001802664,0.001156862,0.001407735,0.009887634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008100028,"about_ca_system_score_gemma":0.00250455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002029858,"about_ca_topic_score_gemma":0.002653404,"domain_scores_codex":[0.999298,0.0001351577,0.0001300571,0.0001094099,0.0002573076,0.00007007803],"domain_scores_gemma":[0.9986389,0.0004355762,0.0002256168,0.0001106922,0.0004995152,0.00008973022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003656566,0.00005783097,0.0008905352,0.008940847,0.0000621039,0.00145484,0.0001924734,0.0001845843,0.00132476,0.004281042,0.058541,0.9240334],"study_design_scores_gemma":[0.00001034038,0.0000417647,0.001716049,0.007154845,0.00005975793,0.0166538,0.0002251742,0.00007557381,0.000610269,0.002751963,0.9706816,0.0000188312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001043517,0.9711674,0.001960075,0.001599768,0.001818139,0.00008240696,0.0002174916,0.0001117489,0.02199947],"genre_scores_gemma":[0.01027205,0.9748523,0.002234736,0.00108678,0.001141975,0.00004163369,0.0004476846,0.00001891972,0.009903861],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02336521,"threshold_uncertainty_score":0.07816446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1377463845629546,"score_gpt":0.4229652852358468,"score_spread":0.2852189006728921,"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."}}