{"id":"W7110559881","doi":"","title":"CeaseCrime: Utilizing Machine Learning to Identify Crime Patterns","year":2019,"lang":"","type":"article","venue":"Scholarly and Creative Works from DePauw University (DePauw University)","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commit; Crime analysis; Crime scene; Big data; Visualization; Offender profiling","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":[0.001467261,0.00118913,0.0006768954,0.005593929,0.0005411178,0.001656958,0.0009183117,0.0005525969,0.005940858],"category_scores_gemma":[0.006863476,0.0003004381,0.0009427112,0.003019628,0.0002677796,0.001332161,0.001211783,0.0008606825,0.002291732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006809465,"about_ca_system_score_gemma":0.001106353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01865272,"about_ca_topic_score_gemma":0.03740967,"domain_scores_codex":[0.9992342,0.0002160228,0.00005087076,0.0002199952,0.0002310883,0.00004783516],"domain_scores_gemma":[0.9973987,0.001539052,0.000183913,0.0003418331,0.0004300379,0.0001064154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000473003,0.001431584,0.1113196,0.0006901065,0.0007659967,0.0005314589,0.001129621,0.02916816,0.003656967,0.003798611,0.1319818,0.715053],"study_design_scores_gemma":[0.0001365323,0.0004486654,0.09842933,0.0002072149,0.0001871315,0.0004263475,0.001212606,0.8277013,0.006569916,0.01042853,0.0541,0.0001524072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.382793,0.001671809,0.3732524,0.002643937,0.0005369368,0.003057368,0.08414259,0.1100272,0.04187458],"genre_scores_gemma":[0.4344292,0.0005711489,0.4924333,0.0003147441,0.00009719383,0.001489167,0.05717659,0.001324289,0.01216433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01865272,"threshold_uncertainty_score":0.03708833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02709685686525457,"score_gpt":0.2789958813692757,"score_spread":0.2518990245040211,"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."}}