{"id":"W4221103973","doi":"10.29173/cgs50","title":"Social Costs of Gambling Harm in Italy","year":2022,"lang":"en","type":"article","venue":"Critical Gambling Studies","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Harm; Social cost; Economic cost; Unemployment; Cost–benefit analysis; Unit (ring theory); Actuarial science; Indirect costs; Estimation; Business; Public economics; Productivity; Economics; Psychology; Economic growth; Microeconomics; Social psychology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008706739,0.0003600549,0.0002692455,0.002140403,0.0003098982,0.0008850309,0.0002819843,0.0004114086,0.003998447],"category_scores_gemma":[0.00451812,0.0001477007,0.0006036389,0.001146981,0.0006763265,0.0004750876,0.001079027,0.0006697579,0.0001897683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003217093,"about_ca_system_score_gemma":0.000993617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01133932,"about_ca_topic_score_gemma":0.01999847,"domain_scores_codex":[0.9988507,0.0006496902,0.00004600906,0.00004334737,0.0002716563,0.0001387084],"domain_scores_gemma":[0.9980921,0.0006696639,0.000757981,0.000101536,0.0002159675,0.0001627148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001531098,0.000854217,0.6474969,0.001056841,0.0009195919,0.001935611,0.001510179,0.03934232,0.0009735612,0.05639064,0.01654898,0.2314401],"study_design_scores_gemma":[0.0000524272,0.0004303508,0.957997,0.0005606763,0.0001982985,0.001710133,0.001003333,0.009655681,0.0001558507,0.01164209,0.01654768,0.00004639993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9172124,0.01332666,0.002294155,0.006509795,0.0001967563,0.0001352076,0.001900063,0.00004574806,0.05837931],"genre_scores_gemma":[0.9950355,0.002286573,0.0006026127,0.0001715582,0.000112844,0.0000390194,0.0005018417,0.000006177416,0.001243923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01133932,"threshold_uncertainty_score":0.02334172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3064481491970436,"score_gpt":0.5261225903216713,"score_spread":0.2196744411246277,"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."}}