{"id":"W2153724765","doi":"10.1177/0093854813503443","title":"Does Bully Victimization Predict Future Delinquency?","year":2013,"lang":"en","type":"article","venue":"Criminal Justice and Behavior","topic":"Bullying, Victimization, and Aggression","field":"Psychology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Simon Fraser University","funders":"","keywords":"Juvenile delinquency; Psychology; Propensity score matching; Poison control; Property crime; Injury prevention; Suicide prevention; Human factors and ergonomics; School dropout; Matching (statistics); Dropout (neural networks); Criminology; Clinical psychology; Developmental psychology; Violent crime; Medicine; Medical emergency; Demographic economics; 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":[0.0016921,0.0002733143,0.0004053471,0.00119673,0.0005785506,0.001354482,0.0006556498,0.001113599,0.003968206],"category_scores_gemma":[0.007923707,0.0003740746,0.0007127703,0.0009364135,0.0007490176,0.001013765,0.000838352,0.001498105,0.0005499198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004241898,"about_ca_system_score_gemma":0.000477643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02150643,"about_ca_topic_score_gemma":0.02836662,"domain_scores_codex":[0.999144,0.0003060618,0.00008630358,0.000161756,0.0001280829,0.0001737545],"domain_scores_gemma":[0.9943008,0.001187407,0.002394949,0.0003732763,0.0003497196,0.001393946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001124646,0.0000461983,0.9984499,0.000005007751,0.00003593298,0.00001323361,0.00005926121,0.00001500635,0.00001055379,0.00003455611,0.00008719927,0.00123175],"study_design_scores_gemma":[0.000001894904,0.00004234644,0.9993744,0.00001184035,0.00002232467,0.00004160917,0.0001613823,0.0001262976,0.000008546042,0.00007173428,0.0001356056,0.000001991502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961042,0.001130849,0.0001360933,0.0009232505,0.00002472854,0.00001448656,0.0003046035,0.000006984244,0.001354918],"genre_scores_gemma":[0.9984955,0.0006110543,0.00008511993,0.00007347229,0.00004569095,0.000009427611,0.0002885367,0.000002605517,0.0003885957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02150643,"threshold_uncertainty_score":0.04276252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196417093290154,"score_gpt":0.2986199073831601,"score_spread":0.2789781980541448,"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."}}