{"id":"W216042340","doi":"","title":"저출산 대응 공공서비스 관점에서 본 「토론토 출산지원센터」 현지조사연구","year":2015,"lang":"ko","type":"article","venue":"한국주거학회논문집","topic":"Korean Urban and Social Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Birth rate; Coping (psychology); Psychology; Political science; Sociology; Demography; Research methodology; Population; Clinical psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005961554,0.0004301202,0.0004899884,0.00004670477,0.0004716273,0.0001350598,0.0006116221,0.0002562602,0.003786162],"category_scores_gemma":[0.000211817,0.0004088501,0.0002199357,0.0004417411,0.0008930953,0.0002934983,0.0006862752,0.0003611111,0.02015239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006728986,"about_ca_system_score_gemma":0.00007576155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002915115,"about_ca_topic_score_gemma":0.0008194991,"domain_scores_codex":[0.9968544,0.0001698144,0.0004360435,0.00067963,0.000934645,0.0009254852],"domain_scores_gemma":[0.998545,0.00007998432,0.000168017,0.0005327945,0.00003712297,0.0006371101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000096501,0.0005320337,0.2977387,0.00004086996,0.0001857237,0.0001720927,0.02098429,0.0000902644,0.0005291674,0.003434415,0.6318197,0.04437632],"study_design_scores_gemma":[0.001480922,0.0003854696,0.2408179,0.00005959799,0.0001284269,0.00001482466,0.005690856,0.0002098637,0.0005103486,0.004508875,0.7451645,0.001028494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5180226,0.004425013,0.0001031181,0.003932699,0.002770381,0.0005619163,0.00009807637,0.0002098894,0.4698763],"genre_scores_gemma":[0.9562246,0.0005357022,0.0003288953,0.001170481,0.0008285348,0.00001872954,0.0000126932,0.00005275806,0.04082759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.438202,"threshold_uncertainty_score":0.9998363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0404816636603977,"score_gpt":0.2416586504846648,"score_spread":0.2011769868242671,"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."}}