{"id":"W624168295","doi":"","title":"第3期医療技術産業戦略コンソーシアム(METIS)の立ち上げと、第1回医療テクノロジー推進会議について","year":2008,"lang":"ja","type":"article","venue":"Medical Entomology and Zoology","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metis; Geography; Computer science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003105089,0.0002624449,0.0002234577,0.0003782796,0.0009321029,0.0008613405,0.0003794301,0.0005177156,0.01241391],"category_scores_gemma":[0.0003581606,0.000194315,0.0004100674,0.0003010012,0.000621182,0.0005852861,0.0005642519,0.0008865289,0.003491407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004793861,"about_ca_system_score_gemma":0.0006070484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00263743,"about_ca_topic_score_gemma":0.003219603,"domain_scores_codex":[0.9997489,0.00002896746,0.0000145561,0.00005647745,0.00009777451,0.0000533877],"domain_scores_gemma":[0.9998323,0.00002935072,0.00003853998,0.00001688012,0.00005319399,0.00002981102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009827242,0.000230146,0.005786958,0.0003910349,0.00007577341,0.0008137538,0.0005843625,0.0009930554,0.793627,0.03613014,0.003636061,0.156749],"study_design_scores_gemma":[0.00006477907,0.001019663,0.01902358,0.00009982623,0.00009321384,0.002313479,0.0008847387,0.002211731,0.773618,0.01197815,0.1886234,0.00006945877],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7014296,0.0103828,0.03065226,0.002428691,0.0009896723,0.0001900974,0.000887456,0.00057043,0.2524689],"genre_scores_gemma":[0.9225377,0.002732978,0.02133942,0.0004384649,0.0001391418,0.00009872486,0.0005668211,0.00007414989,0.05207253],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01241391,"threshold_uncertainty_score":0.0415287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107635998532855,"score_gpt":0.2263250999105864,"score_spread":0.2152487399252578,"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."}}