{"id":"W3193674305","doi":"","title":"臨床研究のためのデータ抽出システムの構築~次世代診療支援システムp-Retrieverの導入と学会データベースとの統合~","year":2017,"lang":"ja","type":"article","venue":"日本救急医学会雑誌","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Labrador Retriever; Medicine","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":[0.001645072,0.0006547521,0.0004652494,0.0007994728,0.001272748,0.002629002,0.0008144167,0.0009675283,0.01676869],"category_scores_gemma":[0.004540785,0.0004519004,0.0003494962,0.0006612558,0.001148298,0.003090908,0.0007993657,0.0007426568,0.01161921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005583772,"about_ca_system_score_gemma":0.0008528986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143213,"about_ca_topic_score_gemma":0.001203159,"domain_scores_codex":[0.9984509,0.0001851584,0.0001580144,0.0003283625,0.0007659239,0.0001115887],"domain_scores_gemma":[0.9976457,0.000715491,0.0001936395,0.0004273156,0.0009099932,0.0001078137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007357522,0.0004022553,0.0122006,0.000707013,0.0001677995,0.001370608,0.003415189,0.004720262,0.2087166,0.1752852,0.02097959,0.5712991],"study_design_scores_gemma":[0.0001505097,0.001219077,0.02522882,0.0002211018,0.0004375524,0.005451681,0.005707012,0.03062112,0.5273345,0.1209392,0.2823012,0.0003882467],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2895487,0.003576447,0.3589195,0.003734092,0.001285878,0.0006470552,0.001285371,0.003377215,0.3376257],"genre_scores_gemma":[0.7170787,0.002400197,0.1771644,0.0008272676,0.0005668067,0.0002887986,0.001244858,0.000536967,0.09989193],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01676869,"threshold_uncertainty_score":0.05609685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497831835603503,"score_gpt":0.2321553465730336,"score_spread":0.2171770282169986,"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."}}