{"id":"W2999519945","doi":"10.18280/rces.060302","title":"Systematic Literature Review of Crime Prediction and Data Mining","year":2019,"lang":"en","type":"article","venue":"Review of Computer Engineering Studies","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Covenant University Centre for Research, Innovation and Discovery; Covenant University","keywords":"Data mining; Data science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.009039967,0.001437315,0.004172877,0.0219253,0.0008168828,0.002450502,0.002625953,0.001487658,0.005448146],"category_scores_gemma":[0.06468301,0.0009195563,0.005479755,0.02208726,0.001009554,0.003026452,0.001623386,0.001412899,0.0006723432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002772777,"about_ca_system_score_gemma":0.01962732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01141908,"about_ca_topic_score_gemma":0.02427177,"domain_scores_codex":[0.9899902,0.003064092,0.003676641,0.0008809064,0.002171994,0.0002161541],"domain_scores_gemma":[0.9214911,0.06355359,0.007343733,0.001368302,0.005812475,0.000430781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001227641,0.000080795,0.003649243,0.7442504,0.00267133,0.0002412931,0.0003647362,0.0005377698,0.0001529284,0.001491005,0.01348172,0.232956],"study_design_scores_gemma":[0.00007051184,0.0001827047,0.009861672,0.8747793,0.01039007,0.0006340428,0.0007659454,0.0005115973,0.0003171289,0.002093854,0.1003207,0.00007245717],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001506982,0.9917883,0.001350642,0.001417022,0.0002626069,0.0004294176,0.00235959,0.00004152446,0.0008439171],"genre_scores_gemma":[0.009191202,0.9843753,0.003342099,0.0005820031,0.0001643225,0.0008272358,0.001313639,0.00001287454,0.0001913219],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0219253,"threshold_uncertainty_score":0.04780847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04769023423106696,"score_gpt":0.37481508763055,"score_spread":0.3271248533994831,"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."}}