{"id":"W3175097561","doi":"","title":"캐나다의 지역 공공시설과 청소년 프로그램에 관한 연구 - 공공정책과 벤쿠버시 지역사회를 중심으로 -","year":2017,"lang":"ko","type":"article","venue":"청소년시설환경","topic":"Healthcare innovation and challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public policy; Public administration; Government (linguistics); Business; State (computer science); Social policy; Local government; Welfare; Political science; Economic growth; Economics","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":[0.0008612527,0.0001653113,0.0002258438,0.000981227,0.009924422,0.007934694,0.0006176337,0.001030814,0.00912537],"category_scores_gemma":[0.001943131,0.0001140318,0.0002779181,0.002323378,0.006196269,0.001453203,0.001319283,0.001385736,0.0008579718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04818856,"about_ca_system_score_gemma":0.1061422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9160057,"about_ca_topic_score_gemma":0.9550901,"domain_scores_codex":[0.9977779,0.0002807029,0.0000354087,0.0002109018,0.0007918068,0.000903265],"domain_scores_gemma":[0.9985324,0.0001599282,0.0001358132,0.00005741371,0.0007437525,0.0003707338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003354455,0.00007238757,0.03577684,0.0001503269,0.00002289117,0.0004104247,0.01105517,0.001087764,0.0005344495,0.8636379,0.03258969,0.05462871],"study_design_scores_gemma":[0.00002685309,0.00008474195,0.1337768,0.0005311382,0.0000465392,0.0004307998,0.04997842,0.002520174,0.001457953,0.08828557,0.7227739,0.00008712339],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2055773,0.003289515,0.007020693,0.04959475,0.0002933058,0.0002551668,0.0009307904,0.0000881643,0.7329503],"genre_scores_gemma":[0.9308584,0.001278535,0.002174831,0.001926604,0.00003977609,0.00005467877,0.0001999305,0.00001458854,0.06345272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08399427,"threshold_uncertainty_score":0.3496341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1651675408581761,"score_gpt":0.4515918024672408,"score_spread":0.2864242616090646,"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."}}