{"id":"W7144459196","doi":"","title":"Micro RNA-204-5p: Xp11.2 転座型腎癌の新規尿中バイオマーカー","year":2019,"lang":"en","type":"dissertation","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Core Research for Evolutional Science and Technology; Japan Science and Technology Agency; National Cancer Institute; National Institutes of Health; Canadian Mental Health Association; Ministry of Education, Culture, Sports, Science and Technology; Frederick National Laboratory for Cancer Research; Japan Agency for Medical Research and Development","keywords":"","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":[0.001079961,0.001415522,0.0008059139,0.002159921,0.001358437,0.002675338,0.0009828573,0.001217881,0.07919692],"category_scores_gemma":[0.002143528,0.001064733,0.0006363771,0.0025411,0.000438974,0.001104865,0.0008847543,0.002193166,0.08135717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007561089,"about_ca_system_score_gemma":0.001170109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001642324,"about_ca_topic_score_gemma":0.002878014,"domain_scores_codex":[0.9993005,0.00009218426,0.00008353703,0.0002324063,0.000212533,0.00007893032],"domain_scores_gemma":[0.9992959,0.0002893854,0.00007074865,0.0001436711,0.0001474042,0.00005283258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001522231,0.0002569224,0.003795231,0.001368141,0.00009277104,0.0005385943,0.000781891,0.001031396,0.2478886,0.01618745,0.4684902,0.2580466],"study_design_scores_gemma":[0.0001057049,0.0001202904,0.005139396,0.0001887632,0.00007193221,0.0004869919,0.0002270152,0.001832509,0.2268269,0.003725774,0.7612121,0.00006262412],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03252013,0.003452352,0.1719452,0.00357925,0.002123249,0.001140365,0.5580964,0.05059306,0.17655],"genre_scores_gemma":[0.04023056,0.002234578,0.2309101,0.0009395126,0.0003969763,0.001622003,0.5882705,0.01249433,0.1229014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07919692,"threshold_uncertainty_score":0.2649401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008341819965738339,"score_gpt":0.2279110516649805,"score_spread":0.2195692316992422,"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."}}