{"id":"W2741535768","doi":"","title":"エルカトニンディスポーザブル製剤（エルシトニンR注20Sディスポ）の有用性について；アンケート結果から","year":2006,"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":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001157288,0.0002828042,0.0002698427,0.0006749025,0.001914368,0.002180958,0.0003629136,0.0007903961,0.01643638],"category_scores_gemma":[0.002607671,0.0002643943,0.0003316774,0.0003237144,0.002959298,0.001319591,0.000708069,0.001056717,0.005565603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115646,"about_ca_system_score_gemma":0.001922706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004003273,"about_ca_topic_score_gemma":0.003270128,"domain_scores_codex":[0.9989384,0.0001210232,0.00006092124,0.0001789308,0.0005646819,0.0001359643],"domain_scores_gemma":[0.9980208,0.0006337374,0.0002137686,0.0002194424,0.0007371287,0.0001750655],"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":[0.0004138392,0.0003378676,0.008823317,0.000585455,0.0001370393,0.001333803,0.003857089,0.002231059,0.09932675,0.513675,0.02190554,0.3473732],"study_design_scores_gemma":[0.00008624873,0.0007918475,0.03336036,0.000284895,0.0002174659,0.003543152,0.006215392,0.003065663,0.2385245,0.2555709,0.4581558,0.0001836651],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1945026,0.00569515,0.04135009,0.007914556,0.001073381,0.0002178207,0.0004227375,0.000291174,0.7485325],"genre_scores_gemma":[0.8367952,0.003896648,0.02664562,0.001733398,0.000585702,0.0001539568,0.0002939659,0.0000865053,0.1298091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01643638,"threshold_uncertainty_score":0.05498511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156588935498763,"score_gpt":0.2422935870358271,"score_spread":0.2307276976808394,"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."}}