{"id":"W171336637","doi":"","title":"脊椎手術における局所止血材(微線維性コラーゲン:アビテン)の使用経験","year":2003,"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":[0.001273394,0.0002657895,0.0002226721,0.0007585732,0.001805482,0.002271261,0.0003782038,0.0009745994,0.01122861],"category_scores_gemma":[0.002710964,0.0002190188,0.0003100525,0.0005829214,0.003132936,0.001465995,0.0007598653,0.00105791,0.00386604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064175,"about_ca_system_score_gemma":0.00147094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002585002,"about_ca_topic_score_gemma":0.002061158,"domain_scores_codex":[0.9990084,0.0001390145,0.0000794676,0.0002259932,0.000417213,0.0001300414],"domain_scores_gemma":[0.9982861,0.0004606647,0.0002422604,0.0001744804,0.0006779893,0.0001584558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"case_report","study_design_scores_codex":[0.0003594305,0.0003012842,0.01226678,0.0005441122,0.00008636934,0.0021236,0.004855094,0.0009191248,0.04802575,0.643003,0.02014081,0.2673746],"study_design_scores_gemma":[0.00007262353,0.0005888032,0.03290458,0.0002690868,0.0002015119,0.006466628,0.007498383,0.002187588,0.1465967,0.2912929,0.5117356,0.0001854899],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3293661,0.008887426,0.06965303,0.01021464,0.002686536,0.0003005127,0.000617583,0.0003613542,0.5779129],"genre_scores_gemma":[0.8657924,0.003647505,0.03098804,0.001363673,0.0007069475,0.000125567,0.0002636017,0.00006855489,0.09704365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01122861,"threshold_uncertainty_score":0.0375635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633168489969658,"score_gpt":0.2543466595009555,"score_spread":0.2380149746012589,"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."}}