{"id":"W7082147114","doi":"10.11575/prism/50162","title":"From loot boxes to lottery tickets: Gaming &amp; gambling among BC youth aged 12-18","year":2025,"lang":"en","type":"other","venue":"Open MIND","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lottery; Mainstream; Public health; Purchasing; Survey data collection; Consumer behaviour","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":[0.0002559771,0.0001858375,0.0001545504,0.001112549,0.001733044,0.0009992993,0.0004297403,0.0003034102,0.00852464],"category_scores_gemma":[0.001138309,0.000189417,0.0002236197,0.001223721,0.0003183812,0.0004446085,0.0008651328,0.0009097843,0.001127635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428095,"about_ca_system_score_gemma":0.001182665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4102936,"about_ca_topic_score_gemma":0.7072614,"domain_scores_codex":[0.999785,0.00002850539,0.00001501795,0.00002257576,0.00008060233,0.00006837682],"domain_scores_gemma":[0.9993497,0.0000370643,0.0001765829,0.00001178138,0.0001284794,0.0002965058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004197927,0.0002541563,0.932839,0.00008926883,0.00001168144,0.0001850567,0.002359908,0.00002601347,0.0001070429,0.0001875712,0.01413828,0.04976003],"study_design_scores_gemma":[0.000003485391,0.00002863763,0.9864557,0.0001238459,0.000009355605,0.0002292445,0.004151432,0.00005375488,0.00004461242,0.00005118562,0.008843913,0.000004729218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510215,0.002583174,0.0001135474,0.001842377,0.0001134444,0.0001469802,0.005390601,0.00005053071,0.03873783],"genre_scores_gemma":[0.963316,0.004608205,0.000608191,0.001071269,0.00007282002,0.0001588733,0.003116023,0.00002372642,0.02702484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5897064,"threshold_uncertainty_score":0.8158109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07399094698762361,"score_gpt":0.3002397527024154,"score_spread":0.2262488057147918,"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."}}