{"id":"W2139829485","doi":"10.1177/0093854811406224","title":"An Empirically Derived Classification System for Juvenile Firesetters","year":2011,"lang":"en","type":"article","venue":"Criminal Justice and Behavior","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Arson; Recidivism; Univariate; Psychology; Poison control; Human factors and ergonomics; Juvenile; Typology; Juvenile delinquency; Injury prevention; Clinical psychology; Environmental health; Psychiatry; Medicine; Computer science; Criminology; Geography; Machine learning; Biology; Ecology; Multivariate statistics","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":[0.008737645,0.0006804778,0.0006731665,0.006510697,0.001687082,0.001919207,0.001674393,0.000902915,0.003977622],"category_scores_gemma":[0.03389378,0.000231087,0.0008890989,0.002403249,0.001165452,0.001474271,0.002201621,0.001158877,0.001449083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002481833,"about_ca_system_score_gemma":0.003198378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01176752,"about_ca_topic_score_gemma":0.01382906,"domain_scores_codex":[0.9950777,0.001569021,0.001363153,0.000508121,0.001007737,0.0004741937],"domain_scores_gemma":[0.9774058,0.007198036,0.003742049,0.00176887,0.009262341,0.0006229832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005293859,0.0003446797,0.8862804,0.0002792692,0.00009312687,0.0002177306,0.005460048,0.002285844,0.001625456,0.006558346,0.01107971,0.08524593],"study_design_scores_gemma":[0.0002423367,0.0009431751,0.8843735,0.0005669008,0.000197089,0.001320061,0.01779529,0.05799649,0.002539176,0.01518997,0.01865015,0.0001858779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8454974,0.0004364631,0.1052748,0.00159413,0.0003527089,0.006552835,0.007779899,0.0009638631,0.03154785],"genre_scores_gemma":[0.8408029,0.0001704239,0.1445076,0.0001718979,0.00006799113,0.004459503,0.00769999,0.00008864376,0.00203106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01176752,"threshold_uncertainty_score":0.04620957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2424328407404014,"score_gpt":0.4550176939334817,"score_spread":0.2125848531930804,"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."}}