{"id":"W2036144767","doi":"10.1007/s10519-014-9658-6","title":"Genetic and Environmental Influences on Gambling and Substance Use in Early Adolescence","year":2014,"lang":"en","type":"article","venue":"Behavior Genetics","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Psychology; Health psychology; Twin study; Developmental psychology; Bivariate analysis; Substance use; Genetic architecture; Clinical psychology; Public health; Heritability; Environmental health; Medicine; Genetics; Biology; Population","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":[0.00006135403,0.0001906239,0.0001578259,0.0001094177,0.00006260357,0.00005991571,0.00009466324,0.0001158451,0.00002123053],"category_scores_gemma":[0.000005243979,0.0001922049,0.00002152316,0.00007227226,0.0001520663,0.00004933996,0.00002951543,0.000144928,0.00002814292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002332659,"about_ca_system_score_gemma":0.000004009836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001939605,"about_ca_topic_score_gemma":0.0001774639,"domain_scores_codex":[0.9988255,0.0000743877,0.0002154847,0.0004361308,0.0001607868,0.0002877453],"domain_scores_gemma":[0.9994689,0.00005065178,0.00005882772,0.0003019867,0.000006890891,0.0001127963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002229718,0.0002383531,0.9746751,0.000002247205,0.000003458915,0.0000462215,0.0006512919,0.000007355115,0.002657772,0.00002231253,0.00000252806,0.02167108],"study_design_scores_gemma":[0.0008836144,0.0002811671,0.997877,0.00002848233,0.00005624049,0.00002250169,0.0001231026,0.00001608349,0.0004705731,0.00001575748,0.00003845949,0.0001869889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988766,0.0006294741,0.00001720596,0.000005956303,0.0001537331,0.00024869,0.00002000073,0.00002160122,0.00002669284],"genre_scores_gemma":[0.9989154,0.0001198628,0.0007032448,0.00005807455,0.00002083149,0.00005549725,0.000004690624,0.00002618678,0.00009624709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02320195,"threshold_uncertainty_score":0.783789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08411437112656299,"score_gpt":0.3354718427423544,"score_spread":0.2513574716157914,"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."}}