{"id":"W3175803770","doi":"","title":"血液透析患者および職員に対するC型肝炎ウイルス感染の予防【JST・京大機械翻訳】","year":2018,"lang":"ja","type":"article","venue":"Hemodialysis International","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine","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":[0.001012793,0.0001784984,0.0001797671,0.0007104967,0.001421045,0.002405497,0.0003588765,0.0005500792,0.01292953],"category_scores_gemma":[0.001939814,0.0001285767,0.0002318882,0.0004208871,0.002273226,0.001559427,0.0007376535,0.0009552618,0.002837103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141953,"about_ca_system_score_gemma":0.001828791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003394037,"about_ca_topic_score_gemma":0.002835997,"domain_scores_codex":[0.9995209,0.00006287117,0.00003759343,0.0000766906,0.0002329958,0.0000689663],"domain_scores_gemma":[0.9987834,0.000235441,0.0001499815,0.0001015017,0.0005606271,0.0001689534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003097458,0.0003380659,0.02902197,0.0005142649,0.00007921029,0.001569363,0.009219896,0.001920613,0.0571926,0.3976783,0.02769545,0.4744605],"study_design_scores_gemma":[0.00006472653,0.0006665611,0.07816517,0.000364661,0.0002003031,0.004155066,0.01559668,0.004195165,0.1072785,0.1639799,0.625145,0.000188296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2822831,0.003764446,0.04142198,0.008915802,0.001536156,0.0001743307,0.0003483611,0.0003756217,0.6611801],"genre_scores_gemma":[0.876929,0.002086857,0.01222655,0.001140478,0.0006311112,0.00006678376,0.000118938,0.00007605394,0.1067242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01292953,"threshold_uncertainty_score":0.0432536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195621660541981,"score_gpt":0.2400342309079531,"score_spread":0.2280780143025333,"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."}}