{"id":"W36002972","doi":"10.1016/j.nicl.2022.103143","title":"皮膚灌流圧(SPP)を用いたバスキュラアクセス(VA)評価法の検討 (第40回日本血液浄化技術学会学術大会) -- (バスキュラーアクセス)","year":2013,"lang":"en","type":"article","venue":"日本血液浄化技術学会会誌 = The journal of Japanese Society for Technology of Hemopurification","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003388284,0.0002895982,0.0001716575,0.000466293,0.0005452918,0.0006273163,0.0003687033,0.000419267,0.01047746],"category_scores_gemma":[0.000351511,0.0002005795,0.0003708213,0.0002961344,0.0009700938,0.000627415,0.0003916606,0.0007611706,0.003246033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006814669,"about_ca_system_score_gemma":0.0007335106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002981841,"about_ca_topic_score_gemma":0.003243578,"domain_scores_codex":[0.9998257,0.00002768208,0.00001992398,0.00004110317,0.00005419977,0.00003146931],"domain_scores_gemma":[0.9998217,0.00002266031,0.00004273466,0.00001905723,0.00005654123,0.00003726531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009882554,0.0004248474,0.02728074,0.0006602918,0.0002362548,0.005635737,0.0006701816,0.002061611,0.599247,0.04966512,0.009094984,0.304035],"study_design_scores_gemma":[0.0001655047,0.005052156,0.1123664,0.0001763668,0.0003026556,0.03436837,0.001113814,0.0074938,0.6595151,0.03994672,0.1393787,0.0001203955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8350112,0.005748056,0.05045795,0.001829723,0.001000041,0.0002538071,0.0008583618,0.0007492469,0.1040915],"genre_scores_gemma":[0.9383997,0.002230293,0.01606295,0.000350359,0.0001740318,0.0001238083,0.0005466048,0.00007270023,0.04203953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01047746,"threshold_uncertainty_score":0.03505057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157522070617545,"score_gpt":0.2543296730431176,"score_spread":0.2427544523369422,"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."}}