{"id":"W1569042123","doi":"10.1111/j.1360-0443.2006.01536.x","title":"RISK CURVES: GAMBLING WITH DATA","year":2006,"lang":"en","type":"letter","venue":"Addiction","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Lottery; Psychology; Proxy (statistics); Measure (data warehouse); Social psychology; Econometrics; Statistics; Computer science; Economics; Mathematics; Data mining","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":[0.07109936,0.001576817,0.001825866,0.008268641,0.002043846,0.009629286,0.003759321,0.003219363,0.03221636],"category_scores_gemma":[0.4433836,0.001516047,0.003304153,0.009110378,0.004987986,0.01631873,0.008553137,0.007305685,0.004515188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002706218,"about_ca_system_score_gemma":0.002087832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003922954,"about_ca_topic_score_gemma":0.002529317,"domain_scores_codex":[0.9243231,0.05329811,0.003827073,0.007510143,0.009975569,0.001066009],"domain_scores_gemma":[0.4701514,0.473611,0.01664984,0.02760422,0.009502488,0.002481102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00117439,0.0005250238,0.1636988,0.002885479,0.001867797,0.001589364,0.01424607,0.01786174,0.0003470563,0.3920732,0.07935084,0.3243801],"study_design_scores_gemma":[0.0001719968,0.0004896641,0.03252955,0.002452305,0.0004033249,0.002216369,0.00448748,0.1484327,0.0005634025,0.7317997,0.07616225,0.0002912473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.08108175,0.007471691,0.8318233,0.02159101,0.001048611,0.001831886,0.0119649,0.008874114,0.0343127],"genre_scores_gemma":[0.6092852,0.003262696,0.3646207,0.002471374,0.001000045,0.003301559,0.007745024,0.00209476,0.006218565],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.07109936,"threshold_uncertainty_score":0.3760139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1323685077365755,"score_gpt":0.3795902351436689,"score_spread":0.2472217274070933,"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."}}