{"id":"W7145864301","doi":"","title":"院内トリアージシステムを導入して　現状報告と今後の課題","year":2012,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Urban and spatial planning","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Triage; Term (time); Identification (biology)","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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006477559,0.0005427341,0.0004010288,0.0001013931,0.001445099,0.0002851204,0.0006310378,0.0002680442,0.002869867],"category_scores_gemma":[0.0004201425,0.0005318708,0.0001870518,0.0005335318,0.00117275,0.003456886,0.0008188368,0.0006198895,0.00581401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008653147,"about_ca_system_score_gemma":0.000203025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003502947,"about_ca_topic_score_gemma":0.0001423294,"domain_scores_codex":[0.9957148,0.0001461401,0.0007339226,0.0007359745,0.001500163,0.001168991],"domain_scores_gemma":[0.9977493,0.0001886173,0.0002760589,0.0009148454,0.0000537889,0.0008173616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005631287,0.002426539,0.5747232,0.0003261168,0.000437753,0.001077134,0.004694428,0.001615099,0.09517386,0.07553702,0.2384784,0.004947352],"study_design_scores_gemma":[0.0006993231,0.0001112422,0.09316379,0.0003405612,0.0001720185,0.0005522447,0.0003509852,0.0006205676,0.01301746,0.00005432524,0.8898649,0.001052617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7268662,0.00907365,0.006004811,0.0009947098,0.03544909,0.001090961,0.003424002,0.000439644,0.2166569],"genre_scores_gemma":[0.9863679,0.0001408797,0.002923248,0.0004559664,0.004670428,0.00003305298,0.0008356753,0.00003806109,0.004534732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6513864,"threshold_uncertainty_score":0.9998549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179829723456593,"score_gpt":0.2448591874373488,"score_spread":0.2230608902027829,"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."}}