{"id":"W2226534607","doi":"","title":"糖尿病患者の下肢閉塞性動脈硬化症；保存的治療における経口剤と注射剤の使い分け（第1部）","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":"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":[0.0008981567,0.0002655947,0.0002215264,0.0006612079,0.002051181,0.002452109,0.0003879426,0.0009871047,0.01538097],"category_scores_gemma":[0.001892755,0.0002660697,0.0002770009,0.0003552111,0.002708685,0.001486226,0.000531762,0.001187382,0.003954731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001487105,"about_ca_system_score_gemma":0.001951975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004298063,"about_ca_topic_score_gemma":0.00409824,"domain_scores_codex":[0.9992583,0.0001144314,0.00003845428,0.0001373174,0.0003553028,0.00009611687],"domain_scores_gemma":[0.9985448,0.0004242186,0.000202429,0.0001295569,0.0005477193,0.0001512283],"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":[0.0002659646,0.0003273318,0.01039823,0.0004819845,0.00008731416,0.001255968,0.005872843,0.001911221,0.05318748,0.6513339,0.02276854,0.2521092],"study_design_scores_gemma":[0.00005924613,0.0006034342,0.03639396,0.0002675833,0.0001653994,0.002758458,0.008303666,0.002612756,0.1349462,0.244839,0.5688709,0.0001794464],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1868522,0.005150944,0.02693809,0.008352743,0.001079815,0.0001864663,0.0003039447,0.0002170122,0.7709187],"genre_scores_gemma":[0.8139226,0.003168256,0.01704434,0.001552755,0.0005220898,0.00009472149,0.000199413,0.00005215322,0.1634437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01538097,"threshold_uncertainty_score":0.05145448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199174474513095,"score_gpt":0.2525828626005497,"score_spread":0.2305911178554187,"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."}}