{"id":"W3202293498","doi":"","title":"重篤な凍傷後の再潅流:初回成功血栓溶解後の最初の完全厚壊死【JST・京大機械翻訳】","year":2020,"lang":"ja","type":"article","venue":"Plastic Surgery Case Studies","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":[0.0005518064,0.0006076287,0.0002305522,0.002081425,0.00291665,0.002529447,0.0007572331,0.003136768,0.01622101],"category_scores_gemma":[0.003277439,0.0003326138,0.0005246229,0.001325183,0.004367167,0.002892388,0.001375088,0.002198224,0.00168519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001967459,"about_ca_system_score_gemma":0.001524485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002458204,"about_ca_topic_score_gemma":0.003019468,"domain_scores_codex":[0.999321,0.0001036241,0.00006661789,0.00009096924,0.0002201312,0.0001976907],"domain_scores_gemma":[0.9988349,0.0004751701,0.0002862983,0.00005485118,0.00009975952,0.0002490926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.00008340137,0.0002049293,0.01947485,0.0002263783,0.00002767793,0.8875898,0.00714746,0.0005372366,0.00286105,0.04971664,0.003884028,0.0282465],"study_design_scores_gemma":[0.00001237598,0.00008448472,0.007456832,0.0001263501,0.0000267681,0.9503015,0.009093625,0.0004128818,0.001667549,0.00940502,0.02138662,0.00002592841],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6873824,0.005771147,0.006758773,0.01525155,0.0009261192,0.00028946,0.0002464355,0.00009121415,0.283283],"genre_scores_gemma":[0.9743916,0.001328645,0.002826127,0.0009883884,0.0005590891,0.0000437553,0.00004778538,0.00002156966,0.01979294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01622101,"threshold_uncertainty_score":0.05426472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04630194751786479,"score_gpt":0.2438805841033858,"score_spread":0.197578636585521,"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."}}