{"id":"W3141032779","doi":"10.1007/s10899-021-10025-2","title":"Predictors of Problem Gambling for Sports and Non-sports Gamblers: A Stochastic Search Variable Selection Analysis","year":2021,"lang":"en","type":"article","venue":"Journal of Gambling Studies","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Gambling Research Exchange Ontario","keywords":"Psychology; Psychological intervention; Selection (genetic algorithm); Clinical psychology; Applied psychology; Social psychology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00132072,0.0002532721,0.0009970074,0.0006702888,0.0002011962,0.00004397718,0.0001001937,0.0001295536,0.00005184469],"category_scores_gemma":[0.0001877112,0.0002175832,0.0003392919,0.001388164,0.00009256267,0.0001762539,0.00005856682,0.000273655,4.850587e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009563557,"about_ca_system_score_gemma":0.0001514923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003633949,"about_ca_topic_score_gemma":0.00001843334,"domain_scores_codex":[0.9975055,0.00008001798,0.001002837,0.0003720952,0.0006250434,0.0004145069],"domain_scores_gemma":[0.9967787,0.000347323,0.0007387474,0.0002043217,0.001802383,0.0001285454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007898671,0.00122138,0.9466946,0.0003566685,0.0160842,0.0002419821,0.01305043,0.0135806,0.002739575,0.0001736182,0.0003777499,0.004689322],"study_design_scores_gemma":[0.01234418,0.003558769,0.9002794,0.002221443,0.03401799,0.001167979,0.03555441,0.001582268,0.006054959,0.001823101,0.0003080022,0.001087475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767226,0.003650684,0.01835844,0.00007344122,0.0007616986,0.0002788064,0.00001553588,0.00001955491,0.000119259],"genre_scores_gemma":[0.9865445,0.0002729258,0.01243413,0.00001515469,0.0002221093,0.00002594364,0.000007323231,0.00003209665,0.0004457418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04641518,"threshold_uncertainty_score":0.8872785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0836489115628822,"score_gpt":0.4118199496422016,"score_spread":0.3281710380793195,"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."}}