{"id":"W2178721134","doi":"10.4309/jgi.2015.30.10","title":"From problem gambling to crime? Findings from the Finnish National Police Information System","year":2015,"lang":"en","type":"article","venue":"Journal of Gambling Issues","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Criminology; Psychology; Dark figure of crime; Property crime; Violent crime","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":[0.006301073,0.0001935358,0.0003405841,0.00842892,0.002061857,0.003200764,0.0005876494,0.0006303345,0.001872436],"category_scores_gemma":[0.03893881,0.0004314616,0.0003472564,0.01166941,0.001339758,0.002289795,0.003408876,0.0009965033,0.0002977111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003398581,"about_ca_system_score_gemma":0.005239179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07545201,"about_ca_topic_score_gemma":0.05238741,"domain_scores_codex":[0.9936201,0.002077609,0.001275018,0.0004113237,0.00163057,0.0009853626],"domain_scores_gemma":[0.9693239,0.01774175,0.007368905,0.0006053722,0.003923486,0.001036537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008462797,0.00009380676,0.7821094,0.000856015,0.00003833609,0.001199476,0.1975695,0.00009528727,0.000240523,0.0008254208,0.002607709,0.01427984],"study_design_scores_gemma":[0.000004027605,0.0000480338,0.7204846,0.000538987,0.000036581,0.0004912714,0.2734314,0.000197816,0.0001867962,0.0001513107,0.00440916,0.00002008287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909497,0.0005424867,0.0001267389,0.001081579,0.00001543322,0.0001074969,0.002961627,0.000005755539,0.004209066],"genre_scores_gemma":[0.9965663,0.0007657785,0.000182918,0.0002560682,0.00001522299,0.0001413179,0.001709792,0.000006069684,0.0003564602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07545201,"threshold_uncertainty_score":0.1500257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.274417431227534,"score_gpt":0.4421330714001394,"score_spread":0.1677156401726054,"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."}}