{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005165641,0.0002018729,0.0004942784,0.0003019157,0.0004034897,0.0000177247,0.0002041164,0.00006441629,0.0003362113],"category_scores_gemma":[0.0004190665,0.0002098804,0.0001510205,0.0005342431,0.0003228459,0.00005934092,0.000275069,0.0003996563,0.00003736368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002205871,"about_ca_system_score_gemma":0.00002783441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001100301,"about_ca_topic_score_gemma":0.0000140384,"domain_scores_codex":[0.9979343,0.000216962,0.0004950828,0.0004274366,0.0003999465,0.0005262365],"domain_scores_gemma":[0.9989001,0.0006109652,0.00006636157,0.0002087681,0.0001560797,0.00005773608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001327114,0.01095435,0.4460635,0.0004106629,0.001681616,0.002643357,0.09960707,0.0001350448,0.00337035,0.3811271,0.01011044,0.0425694],"study_design_scores_gemma":[0.02090819,0.003844973,0.6304126,0.0005585516,0.001875408,0.0002647486,0.2979528,0.0001565559,0.002662581,0.02980909,0.008503082,0.00305135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887978,0.003543955,0.00002683516,0.001168765,0.001252722,0.0001992016,0.00004372905,0.00008002732,0.004886923],"genre_scores_gemma":[0.9988681,0.00001788557,0.0001561075,0.0001560962,0.0001064674,0.0002346716,0.00000945437,0.00003179159,0.0004194095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.351318,"threshold_uncertainty_score":0.8558674,"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."}}