{"id":"W2726690045","doi":"","title":"大規模臨床試験を知る：医療経済効果を考慮した糖尿病性腎症にみるテルミサルタンの有用性（INNOVATIONに学ぶ）","year":2008,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003072507,0.0002498468,0.0002251715,0.001187719,0.00234269,0.007388497,0.0005830728,0.001544906,0.01089897],"category_scores_gemma":[0.004042604,0.0002053097,0.0002234564,0.0006993448,0.009841694,0.004555028,0.001187151,0.001686256,0.001801304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004922599,"about_ca_system_score_gemma":0.004967025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004595041,"about_ca_topic_score_gemma":0.003954291,"domain_scores_codex":[0.9983925,0.000410939,0.00006271485,0.0002388518,0.000705912,0.0001889956],"domain_scores_gemma":[0.997437,0.001050649,0.0002647681,0.0001713987,0.0007840272,0.0002921039],"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":[0.00001607682,0.00003520164,0.0009217905,0.0000567997,0.00001240147,0.00005426371,0.002112563,0.0003211279,0.0007000825,0.960539,0.004611684,0.03061904],"study_design_scores_gemma":[0.00001970565,0.0000623673,0.00404496,0.0001176631,0.00002740449,0.0001574525,0.005774511,0.0007973222,0.00269893,0.8212051,0.1650591,0.00003557441],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05489762,0.005129988,0.01653692,0.04062887,0.0006427709,0.00007761387,0.00009904988,0.00006913213,0.881918],"genre_scores_gemma":[0.9040823,0.00242892,0.008181679,0.003118903,0.0004973621,0.00008056017,0.00004466398,0.00003052175,0.08153506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01089897,"threshold_uncertainty_score":0.0364607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02519105232786535,"score_gpt":0.2583486746957686,"score_spread":0.2331576223679032,"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."}}