{"id":"W4307875530","doi":"10.32604/cmc.2023.034190","title":"Crime Prediction Methods Based on Machine Learning: A Survey","year":2022,"lang":"en","type":"article","venue":"Computers, materials & continua/Computers, materials & continua (Print)","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Big data; Computer science; Field (mathematics); Machine learning; Ambiguity; Artificial intelligence; Process (computing); Data science; Stability (learning theory); Scale (ratio); Deep learning; The Internet; Crime analysis; Data mining; Geography; World Wide Web; Criminology","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":[0.003142213,0.001531063,0.001889669,0.005118244,0.000553097,0.002406085,0.002451805,0.001349812,0.001550613],"category_scores_gemma":[0.008511561,0.000643489,0.001461742,0.006825122,0.0009807115,0.004120122,0.001056205,0.002021919,0.001008439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059417,"about_ca_system_score_gemma":0.001565538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00375085,"about_ca_topic_score_gemma":0.001990634,"domain_scores_codex":[0.9978985,0.0005503689,0.000248188,0.0003696078,0.0008469921,0.00008641461],"domain_scores_gemma":[0.9943922,0.004243035,0.0002060344,0.0002678981,0.0008250111,0.00006575125],"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":[0.00007482248,0.0002812808,0.008696397,0.003275611,0.0001915514,0.0001103472,0.0001588103,0.02458861,0.000334012,0.03221651,0.01094814,0.9191238],"study_design_scores_gemma":[0.00006508612,0.0006004103,0.01643891,0.006181578,0.0004410224,0.00137704,0.0008846396,0.4753564,0.00449481,0.166613,0.3272473,0.000299739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01636713,0.541059,0.4141914,0.006083585,0.001405883,0.0003176627,0.0008343385,0.0007525149,0.01898848],"genre_scores_gemma":[0.1524562,0.6621439,0.1747143,0.001379444,0.003021733,0.0005051235,0.001936066,0.0001513409,0.003691865],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005118244,"threshold_uncertainty_score":0.01661777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04952523392624756,"score_gpt":0.3465057419489596,"score_spread":0.296980508022712,"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."}}