{"id":"W2708138532","doi":"","title":"神経鞘腫摘出術におけるoozing出血に対する局所止血材（微線維性コラーゲン：アビテン）の使用経験","year":2011,"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":"Geography","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":[0.0006228093,0.0003195672,0.0002147464,0.0006397793,0.001088404,0.001651091,0.0002961694,0.0004834531,0.009790392],"category_scores_gemma":[0.0009218731,0.0002047315,0.0003330358,0.0004009322,0.001886352,0.001067275,0.0004741577,0.0007528214,0.002232904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008348476,"about_ca_system_score_gemma":0.001217583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00321028,"about_ca_topic_score_gemma":0.002839967,"domain_scores_codex":[0.9994982,0.0000493404,0.00002932441,0.0000974843,0.000231037,0.00009456796],"domain_scores_gemma":[0.9991807,0.0002345994,0.000110033,0.00008470285,0.0002785857,0.0001113041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"case_report","study_design_scores_codex":[0.0007504974,0.0003883054,0.02311209,0.000676275,0.0001384679,0.001611928,0.004042168,0.002404211,0.4816048,0.1790832,0.006012715,0.3001753],"study_design_scores_gemma":[0.00005570906,0.0006524759,0.03493726,0.0001049952,0.0001543508,0.001894903,0.004750792,0.002167352,0.6763,0.0514286,0.2274169,0.0001365741],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5832485,0.006378834,0.03804142,0.001859454,0.0008896339,0.0001615999,0.0003377135,0.0002428326,0.3688402],"genre_scores_gemma":[0.908708,0.002742843,0.01596482,0.00061676,0.0002459924,0.00006660744,0.0002661047,0.00006911482,0.07131962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009790392,"threshold_uncertainty_score":0.0327521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03164729147481538,"score_gpt":0.2523915608852846,"score_spread":0.2207442694104692,"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."}}