{"id":"W1963706543","doi":"10.1007/s10899-009-9117-0","title":"Instant Ticket Purchasing by Ontario Baby Boomers: Increasing Risk for Problem Gamblers","year":2009,"lang":"en","type":"article","venue":"Journal of Gambling Studies","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Guelph","funders":"","keywords":"Purchasing; Ticket; Cohort; Baby boom; Baby boomers; Lottery; Instant; Psychology; Advertising; Instant messaging; Population; Demography; Demographics; Marketing; Business; Demographic economics; Medicine; Economics; Sociology; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004142648,0.0002093455,0.0002159352,0.0009849647,0.001610563,0.0009863272,0.0005339709,0.0008649101,0.005124944],"category_scores_gemma":[0.002627606,0.0002970531,0.0003561071,0.001089539,0.0004659391,0.0006056507,0.0005842914,0.001008708,0.0002745947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003083485,"about_ca_system_score_gemma":0.003787121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6903364,"about_ca_topic_score_gemma":0.8947222,"domain_scores_codex":[0.9997321,0.00005373348,0.000010523,0.00001931931,0.00009137714,0.00009299598],"domain_scores_gemma":[0.9984125,0.0001623539,0.000489829,0.00003514235,0.0002110319,0.0006891227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000247654,0.0003494189,0.9920974,0.00001255457,0.00001516097,0.0001439767,0.0007396539,0.00001640836,0.0001431346,0.0000577262,0.0006679964,0.005508987],"study_design_scores_gemma":[0.00001735919,0.00009233657,0.99585,0.00001556083,0.00002541972,0.0001282499,0.003143589,0.0001531538,0.00003288038,0.00004007081,0.0004956541,0.000005807585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973277,0.0001848229,0.00001124681,0.0003935367,0.000008142219,0.00001594595,0.0001097885,0.000001864318,0.001947098],"genre_scores_gemma":[0.9975235,0.000388655,0.00005957745,0.0001145858,0.000009227188,0.000006127254,0.0001055099,0.00000246884,0.001790331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3096636,"threshold_uncertainty_score":0.6229745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1097513696921143,"score_gpt":0.4122521298214857,"score_spread":0.3025007601293714,"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."}}