{"id":"W2913780986","doi":"10.1371/journal.pone.0209277","title":"Predictors of gambling and problem gambling in Victoria, Australia","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lottery; Psychology; Harm; The Internet; Demography; Social psychology; Sociology; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006685485,0.0001195395,0.0002188432,0.0006657912,0.0007886217,0.0005758613,0.0004087682,0.0002871581,0.000977444],"category_scores_gemma":[0.003489345,0.0002168381,0.0002233674,0.001057977,0.0003811228,0.0002550495,0.0008451041,0.000821939,0.00007969839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812308,"about_ca_system_score_gemma":0.001854334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3717158,"about_ca_topic_score_gemma":0.5194052,"domain_scores_codex":[0.9994122,0.0001484466,0.00007051808,0.00005556081,0.0002025805,0.0001107138],"domain_scores_gemma":[0.9983505,0.0001674472,0.0006133592,0.00004064592,0.000332366,0.0004956611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000218287,0.000031988,0.9963071,0.00001757899,0.00001387662,0.00008059226,0.0005732345,0.00004476558,0.00009182087,0.00004185025,0.0001210272,0.002654393],"study_design_scores_gemma":[6.639577e-7,0.00001022821,0.9993525,0.000006579246,0.000002503157,0.00005137146,0.000308834,0.0001450993,0.000004947565,0.00002230371,0.00009334036,0.000001580431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988512,0.0002212502,0.00003708589,0.000149,0.000003389484,0.00001201365,0.00009161602,0.000001113488,0.0006333078],"genre_scores_gemma":[0.9995061,0.0001188514,0.00007369142,0.00001534601,0.000001905179,0.000004617241,0.0000712276,5.587615e-7,0.0002077017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3717158,"threshold_uncertainty_score":0.7391044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1848601456554916,"score_gpt":0.3661660471269193,"score_spread":0.1813059014714277,"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."}}