{"id":"W2290373247","doi":"","title":"血管再生 Update 虚血下肢と虚血性心臓病への適応と臨床成績G-CSF誘導末梢血単核球と血管再生療法","year":2005,"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":"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005204418,0.0005781758,0.0005852694,0.0002815134,0.0002254951,0.00004387334,0.0008905826,0.0005394967,0.0136216],"category_scores_gemma":[0.00009582572,0.0005955141,0.0002075628,0.0004488822,0.000429853,0.0005053637,0.0001599407,0.001428525,0.006610955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001336905,"about_ca_system_score_gemma":0.0001005225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002855779,"about_ca_topic_score_gemma":0.00005243956,"domain_scores_codex":[0.9970095,0.00009220398,0.0007352591,0.0005802636,0.0005064213,0.001076395],"domain_scores_gemma":[0.9985621,0.0001209878,0.00008507862,0.000742175,0.00005860278,0.0004310414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001985965,0.0006382825,0.0006120841,0.0009901072,0.00171188,0.0007356444,0.003876894,0.004713584,0.007845497,0.05099607,0.6088845,0.3187969],"study_design_scores_gemma":[0.002064887,0.0000954152,0.0003622137,0.0001786549,0.0002828015,0.0001390028,0.0005619593,0.04442798,0.007118498,0.003473476,0.9403162,0.0009789132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2066604,0.1285956,0.0028908,0.03846296,0.008166037,0.001174012,0.0003084707,0.005543953,0.6081978],"genre_scores_gemma":[0.9788072,0.01477067,0.001828386,0.001234466,0.001818147,0.00004799568,0.00005884059,0.00009138966,0.001342879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7721468,"threshold_uncertainty_score":0.9996496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318051576689193,"score_gpt":0.2552638042886989,"score_spread":0.2420832885218069,"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."}}