{"id":"W3047294396","doi":"10.1016/j.addbeh.2020.106598","title":"Do losses disguised as wins create a “sweet spot” for win overestimates in multiline slots play?","year":2020,"lang":"en","type":"article","venue":"Addictive Behaviors","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Problem Gambling Research Centre; Research Manitoba","keywords":"Disconnection; Session (web analytics); Psychology; Parallels; Advertising; Computer science; Social psychology; Economics; Business; Operations management; Theology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001599064,0.0002049365,0.0002768892,0.0002585324,0.0004799526,0.001514494,0.0004695902,0.0007628618,0.007863731],"category_scores_gemma":[0.008977161,0.0003797102,0.0001498861,0.0001257058,0.001589096,0.002001218,0.0008035601,0.001508506,0.0005972426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002796321,"about_ca_system_score_gemma":0.000455579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007694161,"about_ca_topic_score_gemma":0.003032045,"domain_scores_codex":[0.9994624,0.0002118921,0.00001849144,0.00007474997,0.000138456,0.00009398261],"domain_scores_gemma":[0.9976841,0.001104711,0.0004944367,0.0002157134,0.00008236471,0.0004186509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0251821,0.01334017,0.5016574,0.0003572911,0.0005544996,0.0008559695,0.01230677,0.001998609,0.01505186,0.06972501,0.006644835,0.3523255],"study_design_scores_gemma":[0.001453353,0.006200865,0.8659985,0.0002731689,0.0003353011,0.00175109,0.01877236,0.01124967,0.003994783,0.08063298,0.009212507,0.0001253678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902987,0.0001034521,0.0008486923,0.001031898,0.00005137547,0.00001288074,0.00002115842,0.0000109187,0.007620943],"genre_scores_gemma":[0.9983124,0.00005175872,0.0004721437,0.0001458936,0.00001810096,0.000008221362,0.00001365863,0.00000724474,0.0009706829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007863731,"threshold_uncertainty_score":0.02630681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09820789850142972,"score_gpt":0.4135867187601114,"score_spread":0.3153788202586817,"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."}}