{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007463762,0.00080995,0.0009612943,0.001390247,0.003435697,0.001636992,0.001542546,0.0007428784,0.01817308],"category_scores_gemma":[0.0001872644,0.001080628,0.0007041102,0.002273252,0.0004422742,0.007406001,0.001610903,0.00219817,0.001010356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142213,"about_ca_system_score_gemma":0.0003043918,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05487463,"about_ca_topic_score_gemma":0.009475783,"domain_scores_codex":[0.9935666,0.001959245,0.0004548314,0.001896995,0.0008930231,0.00122928],"domain_scores_gemma":[0.9963648,0.0004740315,0.0004773927,0.0007150771,0.0006775719,0.001291146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.003611314,0.001689739,0.8759325,0.0002919632,0.003589735,0.004641325,0.05784103,0.000266273,0.005590352,0.01414257,0.001907939,0.03049533],"study_design_scores_gemma":[0.004401393,0.0009884232,0.3189361,0.002393338,0.00155581,0.00001346685,0.382193,0.0003820235,0.0003919374,0.0001985297,0.286402,0.002143921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.909771,0.001028074,0.005202848,0.0005896771,0.00086309,0.0009172451,0.0008262623,0.0002222406,0.08057959],"genre_scores_gemma":[0.915566,0.002728882,0.0002637146,0.0001693373,0.0001861077,3.439309e-7,0.0001910388,0.00005622676,0.08083833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5569963,"threshold_uncertainty_score":0.9997675,"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."}}