{"id":"W434632098","doi":"","title":"医機連とMETIS 第3回医療機器市民フォーラムを開催 救急時の医療と医療機器をテーマに","year":2008,"lang":"ja","type":"article","venue":"イザイ","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001148419,0.000356419,0.0003935441,0.000184732,0.0002657462,0.00001612601,0.0004061432,0.0005387826,0.001727447],"category_scores_gemma":[0.00005283587,0.0003873829,0.0001612548,0.0003577079,0.0003316844,0.0002214638,0.0000742465,0.0006449657,0.002343259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006060058,"about_ca_system_score_gemma":0.00005135089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001373288,"about_ca_topic_score_gemma":0.00005439481,"domain_scores_codex":[0.9984187,0.0000372965,0.0003823747,0.0003644919,0.0001932321,0.0006038772],"domain_scores_gemma":[0.9990639,0.00007683758,0.00003744816,0.0006624496,0.00003795957,0.0001214049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002645145,0.0009111327,0.02520665,0.001680715,0.002395376,0.007400847,0.02584283,0.02207682,0.01098206,0.4306702,0.4247233,0.04784562],"study_design_scores_gemma":[0.006123133,0.001994442,0.1813985,0.0007493764,0.0005532228,0.003809557,0.007773472,0.02195996,0.016513,0.0934286,0.6587009,0.006995868],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5419461,0.02244772,0.001127798,0.0007891522,0.00197847,0.0002680729,0.00006308832,0.00157125,0.4298084],"genre_scores_gemma":[0.9862296,0.005044123,0.001443331,0.00008862516,0.0002578376,0.00001829261,0.00001759995,0.00005319412,0.006847416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4442835,"threshold_uncertainty_score":0.9998578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342245320344503,"score_gpt":0.1971624601053203,"score_spread":0.1837400069018753,"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."}}