{"id":"W3149145897","doi":"","title":"日本語版Toronto Extremity Salvage Score下肢の開発 : 言語的妥当性を担保した翻訳版の作成","year":2016,"lang":"ja","type":"article","venue":"Orthopaedic Surgery","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Surgery; Salvage therapy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002081552,0.0009901407,0.001499883,0.0004892859,0.000298875,0.0001166707,0.0004212907,0.0003572822,0.02603967],"category_scores_gemma":[0.001391903,0.0007116825,0.001534498,0.0006270673,0.0005981962,0.000732491,0.0004549891,0.000358914,0.005650572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009549333,"about_ca_system_score_gemma":0.0007252579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002221267,"about_ca_topic_score_gemma":0.0001485221,"domain_scores_codex":[0.9927827,0.0005467309,0.001509242,0.001584605,0.001654204,0.001922542],"domain_scores_gemma":[0.9942342,0.001396593,0.00051905,0.002041417,0.0002314486,0.00157727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005399167,0.0006505633,0.4399336,0.0004707805,0.0004540951,0.001849035,0.0001596493,2.96197e-7,0.001770289,0.00007950039,0.1770932,0.3769991],"study_design_scores_gemma":[0.002720607,0.000135247,0.5699712,0.00392298,0.000880857,0.00008343731,0.0002729671,0.00004771974,0.0002371712,0.00009905698,0.4203899,0.001238892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9221068,0.01585551,0.0009228648,0.0134961,0.009684403,0.001523763,0.0003486136,0.0009039962,0.03515792],"genre_scores_gemma":[0.9468944,0.003701416,0.00008263432,0.003728084,0.003515209,0.0001481341,0.00009877349,0.0001917474,0.04163958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3757602,"threshold_uncertainty_score":0.9995334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432219925751095,"score_gpt":0.2488237012785461,"score_spread":0.2245015020210351,"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."}}