{"id":"W2512220331","doi":"10.4309/jgi.2016.33.6","title":"An Ecological Approach to Electronic Gambling Machines and Socioeconomic Deprivation in Germany","year":2016,"lang":"en","type":"article","venue":"Journal of Gambling Issues","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Unemployment; Harm; Marital status; Context (archaeology); Demography; Demographic economics; Population; Psychology; Unemployment rate; Ecological study; Socioeconomics; Geography; Sociology; Economics; Social psychology; Economic growth","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":[0.001051323,0.000290565,0.0002867698,0.002886642,0.0008854758,0.001156156,0.0004613272,0.0002951681,0.003082032],"category_scores_gemma":[0.002042629,0.0001682413,0.0006854897,0.002874416,0.001154156,0.0008333744,0.002182551,0.0003818372,0.00009187221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002242102,"about_ca_system_score_gemma":0.001085871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0648334,"about_ca_topic_score_gemma":0.08663324,"domain_scores_codex":[0.9990292,0.0005152592,0.0000398309,0.0001104412,0.0001031694,0.0002022038],"domain_scores_gemma":[0.9992803,0.000287405,0.0001931665,0.00005487396,0.00005893139,0.0001252706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008306673,0.0001477827,0.970372,0.00007117003,0.0001807757,0.0004387903,0.003429717,0.001594901,0.0002282636,0.01159065,0.0004068295,0.01145608],"study_design_scores_gemma":[0.000003367865,0.0000618603,0.9880915,0.00003641438,0.00004621657,0.0001348324,0.005411176,0.00253179,0.0000512749,0.002426388,0.001193372,0.00001195962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935306,0.0004217833,0.001985376,0.0003242501,0.00001368463,0.00005402942,0.0006641275,0.000006205906,0.002999949],"genre_scores_gemma":[0.9987894,0.0001320776,0.0006238707,0.00003021712,0.000006011883,0.00003496457,0.0001307465,0.000001426383,0.0002513829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0648334,"threshold_uncertainty_score":0.128912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1456163370802776,"score_gpt":0.4275590172589009,"score_spread":0.2819426801786233,"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."}}