{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001425903,0.00007548811,0.0002170763,0.002672011,0.00007814354,0.0002065132,0.004261908,0.00008817549,0.0000211124],"category_scores_gemma":[0.001120698,0.00005384984,0.00003852159,0.003633023,0.0002859923,0.0001959487,0.0009623164,0.0001869524,0.00000451262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001736155,"about_ca_system_score_gemma":0.00006130728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003919169,"about_ca_topic_score_gemma":0.000002821275,"domain_scores_codex":[0.9985434,0.000004624493,0.0004885899,0.000302912,0.0005362236,0.0001242311],"domain_scores_gemma":[0.9986455,0.0002902849,0.0002304762,0.0005128585,0.0002941445,0.0000266868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005162,0.00003065909,0.004435002,9.819893e-7,0.0003125147,0.00000562679,0.000008067314,0.001382941,0.004730756,0.8910515,0.003004385,0.09503239],"study_design_scores_gemma":[0.0009638531,0.0001341128,0.03366385,0.00005719995,0.0004347331,0.0001638448,0.001669522,0.142097,0.009525233,0.432227,0.3785951,0.0004685479],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1078994,0.00144338,0.8518744,0.03076033,0.001021943,0.000118765,0.0000835732,0.0001598918,0.0066383],"genre_scores_gemma":[0.9766192,0.00008039448,0.02314452,0.00007358105,0.00002972432,0.000002210777,0.000002451843,0.000001654788,0.00004621583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8687198,"threshold_uncertainty_score":0.7919756,"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."}}