{"id":"W4391442460","doi":"10.1111/add.16438","title":"Beyond ‘single customer view’: Player tracking's potential role in understanding and reducing gambling‐related harm","year":2024,"lang":"en","type":"article","venue":"Addiction","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alberta Gambling Research Institute, University of Calgary; New South Wales Government; Responsible Gambling Fund; Gambling Research Exchange Ontario","keywords":"Harm reduction; Harm; Computer science; Argument (complex analysis); Government (linguistics); Computer security; Tracking (education); Risk analysis (engineering); Psychology; Internet privacy; Business; Medicine; Social psychology; Public health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.02842032,0.0004550009,0.0005863327,0.001345468,0.002342669,0.006897972,0.002073093,0.005067119,0.01133299],"category_scores_gemma":[0.0767123,0.0003289535,0.0007177182,0.0007173052,0.009981487,0.009986799,0.006515915,0.005078757,0.001576034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002648373,"about_ca_system_score_gemma":0.007632243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004271683,"about_ca_topic_score_gemma":0.006115401,"domain_scores_codex":[0.9767011,0.0185465,0.0003567426,0.001042394,0.002646649,0.0007067321],"domain_scores_gemma":[0.9192447,0.06132802,0.005961359,0.004111569,0.005763924,0.003590417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000660772,0.0008741315,0.08243992,0.001354419,0.0002230403,0.00047093,0.0280634,0.0009561824,0.0007438732,0.1673492,0.05649173,0.6603724],"study_design_scores_gemma":[0.0003290884,0.002653905,0.09138985,0.01555292,0.0007257266,0.003091114,0.03672379,0.01237917,0.004141471,0.4556108,0.3770369,0.0003652908],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1514057,0.01118654,0.04411598,0.5838974,0.001772753,0.0005109341,0.0002929387,0.0003855527,0.2064323],"genre_scores_gemma":[0.9132113,0.004513219,0.02013571,0.05326273,0.0007606421,0.0003474301,0.0001263713,0.00007701876,0.007565709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02842032,"threshold_uncertainty_score":0.1503028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08521922888793128,"score_gpt":0.3551088979028684,"score_spread":0.2698896690149372,"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."}}