{"id":"W2602430980","doi":"","title":"トラクリア錠62.5mg（ボセンタン水和物）特定使用成績調査における安全性と有効性（中間報告）","year":2012,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007204759,0.0005797035,0.0005940988,0.0002626348,0.0002384174,0.00003036029,0.0007483991,0.000636545,0.009315892],"category_scores_gemma":[0.0001876481,0.0005788952,0.000209519,0.0004526701,0.0004265549,0.000663864,0.0001757097,0.001453944,0.003358005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001142947,"about_ca_system_score_gemma":0.00008111213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005568008,"about_ca_topic_score_gemma":0.000009011701,"domain_scores_codex":[0.9967276,0.0001174912,0.0006476362,0.0004070576,0.0005362129,0.001564008],"domain_scores_gemma":[0.9982511,0.0002043484,0.00008645019,0.0007180686,0.00005282383,0.0006871489],"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":[0.0003035099,0.001847049,0.01828185,0.003250221,0.003378385,0.0006594851,0.02303809,0.0005194701,0.02240373,0.1076149,0.6752375,0.1434658],"study_design_scores_gemma":[0.003475209,0.0002379063,0.006001059,0.0003984118,0.0007478595,0.0004174189,0.003217215,0.009981291,0.01406566,0.005021021,0.9542984,0.002138545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2848605,0.1387992,0.001596001,0.005706345,0.01720479,0.0009222191,0.0001955203,0.003493752,0.5472217],"genre_scores_gemma":[0.9896839,0.005372869,0.0006497654,0.0004941096,0.002218378,0.00006483272,0.00004325301,0.00009372275,0.001379152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7048234,"threshold_uncertainty_score":0.9996663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201359400791396,"score_gpt":0.2655660774104608,"score_spread":0.2454301373313212,"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."}}