{"id":"W4412361741","doi":"10.33564/ijeast.2025.v10i01.005","title":"CRIME DATA ANALYSIS","year":2025,"lang":"en","type":"article","venue":"International Journal of Engineering Applied Sciences and Technology","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science","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":[0.001665376,0.001135321,0.0008569775,0.004889494,0.0009363577,0.001880146,0.002038738,0.001040688,0.02932487],"category_scores_gemma":[0.01123253,0.0003516055,0.001145136,0.007315479,0.0003622012,0.001125725,0.001446088,0.001805084,0.03112024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172215,"about_ca_system_score_gemma":0.00335929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02615926,"about_ca_topic_score_gemma":0.03409759,"domain_scores_codex":[0.9971565,0.0005397752,0.000456049,0.0006509603,0.0009235351,0.0002732111],"domain_scores_gemma":[0.9924386,0.001688231,0.0006230112,0.001479936,0.003368574,0.0004016896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008505418,0.000162983,0.009222056,0.0003481635,0.00005763216,0.00007363256,0.0001044915,0.001989409,0.0001248767,0.002770099,0.9630664,0.02199519],"study_design_scores_gemma":[0.0001037571,0.00006317278,0.02966216,0.0003372093,0.0000397261,0.0001659129,0.0005537944,0.00838291,0.001023861,0.003176917,0.9564195,0.00007107206],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003747564,0.00009295508,0.001410729,0.0003540376,0.00008305039,0.0003469695,0.9867728,0.0009601333,0.006231705],"genre_scores_gemma":[0.005189011,0.00007750488,0.003406157,0.0001177211,0.0000248713,0.0005240505,0.9877064,0.0001350232,0.002819211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02932487,"threshold_uncertainty_score":0.09810144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1252056521485598,"score_gpt":0.3966487130253485,"score_spread":0.2714430608767888,"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."}}