{"id":"W4399375851","doi":"10.1109/icac3n60023.2023.10541370","title":"Predicting Crime Rate in Toronto","year":2023,"lang":"en","type":"article","venue":"","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0001699928,0.0005017682,0.0002084144,0.001499738,0.0006552803,0.0006269212,0.0004551364,0.0003514399,0.002630195],"category_scores_gemma":[0.001101875,0.0001658347,0.0003805255,0.00195117,0.0002469942,0.0002732244,0.0004880964,0.0003602736,0.0009785887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006785159,"about_ca_system_score_gemma":0.003426738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9235262,"about_ca_topic_score_gemma":0.9613013,"domain_scores_codex":[0.9998044,0.00001685172,0.00001171523,0.00004882611,0.00006946106,0.00004869768],"domain_scores_gemma":[0.9994243,0.00006225363,0.00006417284,0.00003819304,0.0003041421,0.0001068398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003425233,0.0001651939,0.7948325,0.0002418254,0.00016091,0.001200183,0.001287394,0.04440142,0.002125638,0.001948904,0.09665082,0.05664274],"study_design_scores_gemma":[0.00001667049,0.00007904816,0.8585919,0.00009668166,0.00005478484,0.0002430718,0.002682318,0.1148439,0.002062944,0.000364032,0.02090381,0.00006085076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935024,0.0004681415,0.001007282,0.0007761877,0.00006513824,0.00005489958,0.05388661,0.000315731,0.008401992],"genre_scores_gemma":[0.9332934,0.0005438784,0.001438788,0.00003892578,0.00001939744,0.00002987721,0.05850638,0.0000279953,0.006101329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07647383,"threshold_uncertainty_score":0.1538484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07364392004292328,"score_gpt":0.4225213725302491,"score_spread":0.3488774524873258,"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."}}