{"id":"W6941313737","doi":"10.13026/cqt2-0b27","title":"MIMIC-IV on FHIR","year":2024,"lang":"en","type":"dataset","venue":"PhysioNet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Interoperability; Terminology; Health care; ENCODE; Information system; Restructuring; Process (computing); Health informatics; Data warehouse","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002825378,0.001674787,0.001012458,0.003590391,0.0009666102,0.002606203,0.003148163,0.001884873,0.01801292],"category_scores_gemma":[0.01211841,0.0005457795,0.002004744,0.004560824,0.0006449528,0.001816394,0.003286182,0.001515165,0.02913027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676368,"about_ca_system_score_gemma":0.002650788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02977171,"about_ca_topic_score_gemma":0.04833684,"domain_scores_codex":[0.9970827,0.0006850322,0.0003798608,0.0008698985,0.0006259385,0.0003565476],"domain_scores_gemma":[0.9971876,0.0005953243,0.0002203492,0.001188579,0.0005804941,0.000227655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00033994,0.00008001651,0.006905858,0.0009876324,0.0001348815,0.0001162174,0.0001024749,0.002233165,0.0005713986,0.002435193,0.9741479,0.01194536],"study_design_scores_gemma":[0.0003195265,0.00008736276,0.009949462,0.0003861823,0.0000692048,0.0002503552,0.0002274272,0.003832932,0.001282203,0.003379761,0.9801509,0.00006465982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002394031,0.0003680005,0.0008509388,0.0003415329,0.0001204362,0.00008807737,0.9902221,0.002884896,0.002729932],"genre_scores_gemma":[0.002483984,0.0000864654,0.001589155,0.000122073,0.00001231133,0.000103763,0.9948844,0.000137587,0.0005803493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02977171,"threshold_uncertainty_score":0.06025916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369881118789139,"score_gpt":0.2280476208262815,"score_spread":0.2143488096383901,"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."}}