{"id":"W2582711641","doi":"","title":"Variations In Juvenile Offending in Louisiana: Demographic, Behavioral, Geographic, and School-Related Predictors","year":2016,"lang":"en","type":"article","venue":"Aquila Digital Community (University of Southern Mississippi)","topic":"Youth Development and Social Support","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Child Health and Human Development; Canadian Institutes of Health Research; Office of Justice Programs; University of Washington; National Institutes of Health; U.S. Department of Justice","keywords":"Juvenile delinquency; Poverty; Population; Criminology; Census; Demography; Psychology; Socioeconomics; Geography; Sociology; Political science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0007077773,0.0001369628,0.0001940643,0.001846803,0.0009229273,0.000867537,0.000516307,0.0003097142,0.001690237],"category_scores_gemma":[0.00191336,0.0001622284,0.0002468134,0.001946107,0.0003595369,0.000428037,0.0009709274,0.0006146986,0.0003173299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636956,"about_ca_system_score_gemma":0.001154343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2082814,"about_ca_topic_score_gemma":0.4458013,"domain_scores_codex":[0.9994165,0.0001395013,0.00005920013,0.0001167716,0.000109875,0.0001581636],"domain_scores_gemma":[0.9976223,0.0002896085,0.001088078,0.00009330414,0.0004416596,0.0004650656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004337565,0.000008298025,0.9989635,0.000001732128,0.000006716102,0.00002037977,0.0001434365,0.00001325056,0.00003250153,0.000008405455,0.00007387554,0.0007236149],"study_design_scores_gemma":[2.482691e-7,0.000007646714,0.9990662,0.000003146266,0.000002027608,0.00002764539,0.0007103012,0.00003715552,0.00001142084,0.000004768782,0.0001283586,0.000001088447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989609,0.00008746532,0.00002784385,0.00006602638,0.00000156899,0.000003904355,0.0004020411,0.000004106889,0.0004462067],"genre_scores_gemma":[0.9991444,0.00007132327,0.00002480851,0.00001948449,0.000002442289,0.000004782163,0.0004732238,0.000001756209,0.0002577563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2082814,"threshold_uncertainty_score":0.4141381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002615430549174,"score_gpt":0.2361421767488758,"score_spread":0.2161160224433841,"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."}}