{"id":"W4410214036","doi":"10.1177/27536386251333517","title":"Paramedicine informatics – leveraging advancing technology to drive positive change","year":2025,"lang":"en","type":"article","venue":"Paramedicine","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary; University of Victoria","funders":"","keywords":"Informatics; Health informatics; Computer science; Business; Process management; Medicine; Engineering; Nursing; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001764177,0.0003284068,0.0008995221,0.001120735,0.0006738587,0.000005395407,0.0003751607,0.0004059153,0.0001380241],"category_scores_gemma":[0.001870895,0.0002750303,0.00004543904,0.001968111,0.0001259695,0.0001482861,0.0002410024,0.001704082,0.000677547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194955,"about_ca_system_score_gemma":0.0009239397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001056103,"about_ca_topic_score_gemma":0.0003514357,"domain_scores_codex":[0.9957798,0.0002826459,0.0015012,0.0003574246,0.0004026338,0.001676333],"domain_scores_gemma":[0.9968769,0.001229798,0.0004120844,0.0006620152,0.0004113576,0.0004078661],"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":[0.0006299064,0.0002804281,0.3636256,0.006583398,0.000500654,0.0002062883,0.1223647,0.00008504985,0.001580904,0.04440349,0.1574011,0.3023385],"study_design_scores_gemma":[0.01061581,0.002676053,0.04583608,0.03101766,0.0003065527,0.0001034623,0.09755995,0.008452184,0.0006411687,0.007628032,0.7939057,0.001257394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5834466,0.004862208,0.08967642,0.2302031,0.008158356,0.01195497,0.00003170438,0.0013637,0.07030301],"genre_scores_gemma":[0.9287001,0.0003006143,0.003184926,0.06118642,0.001086279,0.001647818,0.0000391669,0.00004634651,0.003808362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6365046,"threshold_uncertainty_score":0.9999702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03709812173364629,"score_gpt":0.4640531332987202,"score_spread":0.4269550115650739,"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."}}