{"id":"W2589936655","doi":"10.4309/jgi.2017.35.3","title":"Risk factors for pathological gambling along a continuum of severity: Individual and relational variables","year":2017,"lang":"en","type":"article","venue":"Journal of Gambling Issues","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Gambling disorder; Pathological; Odds; Clinical psychology; Psychopathology; Odds ratio; Marital status; Humanities; Developmental psychology; Psychiatry; Medicine; Demography; Internal medicine; Logistic regression; Population; Sociology; Addiction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005085587,0.0003009289,0.0002699958,0.00109243,0.0003057792,0.0005091279,0.0002489696,0.0004539157,0.002159147],"category_scores_gemma":[0.002184118,0.0001716142,0.0003565825,0.0007488067,0.0003418648,0.0004221443,0.0006674146,0.000607369,0.0001443238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001231501,"about_ca_system_score_gemma":0.0002304342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001749605,"about_ca_topic_score_gemma":0.00248055,"domain_scores_codex":[0.9996707,0.00009326881,0.00003635638,0.00006309782,0.00008485486,0.00005168024],"domain_scores_gemma":[0.9987249,0.0002646611,0.0005927043,0.00006544401,0.0000677987,0.0002846152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004192482,0.00003689085,0.9985157,0.000005997123,0.00002347561,0.00005723639,0.00007853913,0.00002924408,0.0001477393,0.00002229124,0.000007818428,0.001033029],"study_design_scores_gemma":[0.00000203759,0.00008099178,0.9988674,0.000004748267,0.0000202084,0.0004206744,0.0002137888,0.0002572951,0.00003507798,0.0000634556,0.00003216071,0.00000224684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994397,0.00009800889,0.0001299091,0.00002656482,0.000002377652,0.000006710914,0.00003079322,0.000001862686,0.0002640515],"genre_scores_gemma":[0.9997531,0.00003705211,0.0001172403,0.000004737129,0.000003051795,0.000002952462,0.00003808345,5.113884e-7,0.00004326777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002159147,"threshold_uncertainty_score":0.00722307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.341882837697186,"score_gpt":0.4517827513659574,"score_spread":0.1098999136687714,"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."}}