{"id":"W2565845601","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R）の新しい使用法（CLINICAL REPORT）","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":[0.001249547,0.000450033,0.0004469761,0.0005556793,0.0009499631,0.00136697,0.0004094256,0.0012377,0.01228106],"category_scores_gemma":[0.003036269,0.0002468186,0.0004444869,0.0004220299,0.001620146,0.0007937057,0.0003030722,0.001488997,0.005273771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005456208,"about_ca_system_score_gemma":0.0007815753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000800714,"about_ca_topic_score_gemma":0.0009927044,"domain_scores_codex":[0.999364,0.0001104148,0.00006917599,0.0001096776,0.0002269728,0.0001197639],"domain_scores_gemma":[0.9983637,0.0005500533,0.0002378196,0.000182762,0.0004361887,0.0002294825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.002822168,0.001983207,0.1435536,0.001152865,0.0002426445,0.1072023,0.002932433,0.0005112765,0.1042893,0.01468396,0.04373005,0.5768963],"study_design_scores_gemma":[0.0004121586,0.004879762,0.1029937,0.0006615916,0.0006441821,0.402097,0.004637571,0.001240399,0.1307653,0.01596368,0.3355057,0.0001988441],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5970516,0.037135,0.01686495,0.02534372,0.004219687,0.000940333,0.0009363637,0.0003174776,0.3171909],"genre_scores_gemma":[0.9220799,0.01151779,0.00625541,0.004724561,0.003105267,0.0001698978,0.0006742089,0.00005905448,0.05141399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01228106,"threshold_uncertainty_score":0.04108423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713259763826173,"score_gpt":0.3134875479952243,"score_spread":0.2863549503569626,"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."}}