{"id":"W2958893619","doi":"","title":"사회적경제의 힘 통계 방법론과 해외 사례들","year":2019,"lang":"ko","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002892198,0.001288861,0.0009168224,0.003234331,0.002226446,0.01035395,0.001252674,0.003464206,0.03615755],"category_scores_gemma":[0.005693023,0.000355859,0.0006844932,0.003241953,0.008946132,0.00612776,0.003220668,0.005434737,0.01030197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006465315,"about_ca_system_score_gemma":0.004100771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01474257,"about_ca_topic_score_gemma":0.01000465,"domain_scores_codex":[0.9975845,0.0009662479,0.00009324126,0.000372455,0.0008397438,0.0001438443],"domain_scores_gemma":[0.9971162,0.001017173,0.0002330376,0.0006029527,0.0008665131,0.0001640064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003659262,0.0000156123,0.0001689834,0.0002236484,0.00001533164,0.00005322662,0.001306326,0.0001865511,0.0002307092,0.8380803,0.1342063,0.0254765],"study_design_scores_gemma":[0.00001684248,0.00001498047,0.0008203827,0.0003705966,0.00001176418,0.0001515472,0.0005195766,0.0004664956,0.0005305451,0.1383011,0.8587729,0.00002320896],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.008834885,0.1032319,0.02734586,0.1682339,0.08039328,0.00009375232,0.002234176,0.0007064642,0.6089258],"genre_scores_gemma":[0.3078466,0.0641292,0.01219801,0.01278874,0.02676406,0.000349348,0.001352496,0.0008548572,0.5737167],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03615755,"threshold_uncertainty_score":0.120959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423036362569377,"score_gpt":0.2332990810816153,"score_spread":0.2190687174559216,"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."}}