{"id":"W7029524790","doi":"","title":"Kolme kriisiä ja kansalliset rahapelit : Yhteiskunnallisten murroskausien vaikutus suomalaisen rahapelijärjestelmän muotoutumiseen","year":2019,"lang":"en","type":"other","venue":"Työväentutkimus Vuosikirja","topic":"Linguistic research and analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Austerity; Lottery; Legalization; Recession; Period (music); Quarter (Canadian coin); Unemployment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000502758,0.000437541,0.0003713727,0.0006554277,0.00338749,0.005531295,0.0004778523,0.001078226,0.08659491],"category_scores_gemma":[0.0008956908,0.0002345606,0.0002136978,0.0005269565,0.0006896674,0.001708395,0.002328523,0.0009680073,0.02117453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002027703,"about_ca_system_score_gemma":0.003666493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009756712,"about_ca_topic_score_gemma":0.02169608,"domain_scores_codex":[0.999585,0.00005570392,0.00002131379,0.00007976517,0.0001355851,0.0001226802],"domain_scores_gemma":[0.9996778,0.00008478079,0.00002941051,0.00001754361,0.00008380002,0.0001066711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005408707,0.0004478522,0.0211429,0.001472564,0.00006322638,0.005132206,0.03339846,0.0009861204,0.008081743,0.1438688,0.2347149,0.5501503],"study_design_scores_gemma":[0.000007463841,0.00004535101,0.007442177,0.00035087,0.00001617969,0.0005239637,0.008448801,0.0001785366,0.001328381,0.002358666,0.9792765,0.00002289166],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.150221,0.02659396,0.002891806,0.01484054,0.004652299,0.0001033954,0.001993991,0.0005936287,0.7981094],"genre_scores_gemma":[0.2500584,0.01134943,0.002612078,0.001258766,0.0004189216,0.00006863464,0.001068947,0.0002176944,0.7329472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08659491,"threshold_uncertainty_score":0.2896888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455058106079309,"score_gpt":0.2426364885913047,"score_spread":0.2180859075305116,"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."}}