{"id":"W20404034","doi":"10.1258/ebm.2009.009316","title":"社会資本整備における利害調整と合意形成--米国におけるコンセンサスビルディング・プロセス","year":2011,"lang":"en","type":"article","venue":"熊本大学社会文化研究","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001761459,0.0003180035,0.0001289818,0.000182451,0.0001502739,0.0002511607,0.0000978715,0.0001612437,0.002310465],"category_scores_gemma":[0.0001161007,0.0001664075,0.0001269817,0.00009378444,0.0002402827,0.0001795013,0.0001172432,0.0004490527,0.0008786705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000179685,"about_ca_system_score_gemma":0.0002054758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004443158,"about_ca_topic_score_gemma":0.0008591204,"domain_scores_codex":[0.9999028,0.000006722097,0.00001006291,0.00001740448,0.00003858267,0.00002439352],"domain_scores_gemma":[0.9998704,0.00001554292,0.00004123981,0.00001325061,0.00002373702,0.00003582065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001531787,0.00002781692,0.001038245,0.00002836593,0.000006033089,0.00009956558,0.00002497745,0.00003371154,0.9913251,0.000119172,0.00003712593,0.007106727],"study_design_scores_gemma":[0.00001622961,0.000622172,0.01944629,0.00001470483,0.00002610995,0.0006186911,0.00008827508,0.0002375474,0.9750237,0.0001466189,0.003754211,0.000005260276],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893996,0.002165169,0.003972684,0.00006045217,0.00003775511,0.00002929631,0.0002017082,0.0001057023,0.004027606],"genre_scores_gemma":[0.9819978,0.002517083,0.006084818,0.0000604139,0.00003110805,0.0000649768,0.0008613908,0.00003893564,0.008343442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002310465,"threshold_uncertainty_score":0.007729232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05283355930799173,"score_gpt":0.2480590427078461,"score_spread":0.1952254833998544,"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."}}