{"id":"W4399169253","doi":"10.1109/wf-iot58464.2023.10539414","title":"A Novel Machine Learning-Based Approach to City Crime Sensor Placement Prediction","year":2023,"lang":"en","type":"article","venue":"","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Machine learning; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009092963,0.0009001383,0.001092685,0.001300139,0.0004882077,0.001129535,0.002009676,0.001296235,0.002024966],"category_scores_gemma":[0.002474767,0.0005201629,0.0008517279,0.001598296,0.0004480819,0.001037694,0.0008132585,0.00139395,0.000607996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142605,"about_ca_system_score_gemma":0.001462337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01906631,"about_ca_topic_score_gemma":0.02060478,"domain_scores_codex":[0.9995033,0.0001176604,0.00003432438,0.0001732415,0.00009088246,0.00008055886],"domain_scores_gemma":[0.9990683,0.0004305241,0.0001078009,0.00006527389,0.0002838174,0.00004436637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007090213,0.0001606472,0.002943408,0.00004467065,0.00006849757,0.00007460387,0.00003590336,0.9002757,0.0009919984,0.001992508,0.001787409,0.09155371],"study_design_scores_gemma":[0.000001795496,0.000007624586,0.0001367476,0.000002087153,0.000002547694,0.00000499817,0.000004109706,0.9991492,0.0001190862,0.0004647033,0.0001051943,0.000001850998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04343774,0.00034839,0.9512904,0.0005967514,0.0001239111,0.00009927747,0.0004545574,0.001630095,0.002018906],"genre_scores_gemma":[0.6818312,0.000281325,0.3104931,0.0003175641,0.000230296,0.0002800989,0.001041052,0.0001078603,0.005417553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01906631,"threshold_uncertainty_score":0.03791064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02380490138550051,"score_gpt":0.2256474194098086,"score_spread":0.2018425180243081,"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."}}