{"id":"W3027038999","doi":"10.4309/jgi.2020.44.5","title":"GamTest: Psychometric Evaluation in a Low-Gambling General Population","year":2020,"lang":"en","type":"article","venue":"Journal of Gambling Issues","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Confirmatory factor analysis; Internal consistency; Population; Humanities; Social psychology; Clinical psychology; Psychometrics; Structural equation modeling; Statistics; Demography; Sociology; Mathematics","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":[0.006543365,0.0006072932,0.0005062944,0.00164564,0.0003341148,0.000788338,0.0005640239,0.0007481463,0.003554159],"category_scores_gemma":[0.01338386,0.0003387468,0.001275323,0.0009244714,0.0004359972,0.0008266683,0.001267263,0.0006467905,0.0009880305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002647934,"about_ca_system_score_gemma":0.0005903544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001171588,"about_ca_topic_score_gemma":0.001634211,"domain_scores_codex":[0.9981887,0.0008006665,0.0001844753,0.0001593846,0.0005308248,0.0001360168],"domain_scores_gemma":[0.9937543,0.003096495,0.0009545764,0.000352704,0.001290097,0.0005517769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001874239,0.001728121,0.8924699,0.0002588335,0.0003293381,0.0002207662,0.001634785,0.001217524,0.001307178,0.000330696,0.003336689,0.09529192],"study_design_scores_gemma":[0.0002857278,0.003790671,0.9842599,0.0001435628,0.0001550246,0.000951667,0.0009491236,0.003819592,0.0007454067,0.0006670046,0.00418856,0.00004385649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932973,0.0002734013,0.001725097,0.0001338487,0.00004075511,0.0005045336,0.0008210288,0.0001357242,0.003068345],"genre_scores_gemma":[0.9873775,0.0004092335,0.006726111,0.0001840467,0.00004247078,0.001077337,0.002007761,0.00006542673,0.002110127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006543365,"threshold_uncertainty_score":0.03460503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4324928201887686,"score_gpt":0.5030670726141516,"score_spread":0.07057425242538301,"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."}}