{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02694862,0.0006275639,0.0005394092,0.00281276,0.003741467,0.01534568,0.002551466,0.004425171,0.0121852],"category_scores_gemma":[0.04057587,0.0004323,0.0008920867,0.001925504,0.008479921,0.01674645,0.01713346,0.006817779,0.005700794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004362788,"about_ca_system_score_gemma":0.01742851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00197488,"about_ca_topic_score_gemma":0.002944296,"domain_scores_codex":[0.9808556,0.01143337,0.0009166801,0.001552486,0.003711894,0.001529969],"domain_scores_gemma":[0.9595813,0.01771168,0.00234576,0.006061724,0.005055051,0.009244373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008635395,0.0003634233,0.01175621,0.0017175,0.0001126223,0.0006225429,0.02073757,0.0007191199,0.00197622,0.2089824,0.06594363,0.6869824],"study_design_scores_gemma":[0.00004751553,0.0003281828,0.008334382,0.003544936,0.00006385479,0.0007956091,0.01345077,0.001328389,0.001747737,0.1820603,0.788219,0.0000791331],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03714487,0.02533913,0.08025649,0.5566022,0.005133476,0.0005302566,0.000208993,0.001182991,0.2936016],"genre_scores_gemma":[0.6693848,0.0373794,0.1805239,0.06107473,0.006240336,0.0006596041,0.0003342375,0.0005448865,0.04385815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02694862,"threshold_uncertainty_score":0.1425196,"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."}}