{"id":"W2280840007","doi":"10.14288/1.0092778","title":"A depressing story? : homicide rates in late Victorian Toronto","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Homicide; History; Poison control; Demography; Geography; Suicide prevention; Sociology; Medical emergency; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004339054,0.0002838501,0.0002403173,0.002225889,0.00345651,0.002120665,0.001571729,0.001036564,0.003832704],"category_scores_gemma":[0.002318016,0.000360942,0.0002480723,0.004507394,0.001311366,0.0007113812,0.001594248,0.001301527,0.0005273678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04609947,"about_ca_system_score_gemma":0.02033706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931902,"about_ca_topic_score_gemma":0.9977903,"domain_scores_codex":[0.999337,0.00007586859,0.00004928691,0.00007479094,0.0002019374,0.0002610393],"domain_scores_gemma":[0.9976179,0.0001787986,0.0004005651,0.00006119708,0.0009829762,0.0007585832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008329614,0.0000498781,0.8932275,0.0002638788,0.0000751612,0.001204907,0.05539509,0.0003830105,0.0007291645,0.003769773,0.02746831,0.01735008],"study_design_scores_gemma":[0.000002145301,0.00001562922,0.9563149,0.00009633612,0.00001237659,0.0001437955,0.03201824,0.0001831833,0.0001181149,0.00009703467,0.01096778,0.00003051096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664807,0.002904936,0.00009895236,0.007877555,0.00009525262,0.00003016714,0.006612016,0.00003187975,0.0158685],"genre_scores_gemma":[0.9878322,0.002107864,0.0001169967,0.0004768567,0.00003668221,0.00001778083,0.001633027,0.00001739657,0.007761087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04609947,"threshold_uncertainty_score":0.3344766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005248385756271644,"score_gpt":0.1834692130096849,"score_spread":0.1782208272534132,"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."}}