{"id":"W4413469990","doi":"10.2196/75865","title":"Influences on Emergency Clinician Use of Health Information Exchange: Interview Study","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Preprint; Health information exchange; Medicine; Medical emergency; Qualitative research; Health care; Information exchange; Data science; Computer science; Health information; World Wide Web; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00848499,0.0002591521,0.0003268855,0.001105985,0.001913519,0.001832515,0.0004244771,0.0008820691,0.001657099],"category_scores_gemma":[0.03188995,0.0006774573,0.0002781715,0.001252596,0.00103621,0.001230676,0.001748129,0.001481675,0.0003148633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002532348,"about_ca_system_score_gemma":0.002686843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006822963,"about_ca_topic_score_gemma":0.008745901,"domain_scores_codex":[0.9923912,0.004954807,0.0005934513,0.0004520484,0.000581103,0.001027521],"domain_scores_gemma":[0.9654737,0.02215518,0.005883934,0.0007433184,0.003756406,0.001987433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001968049,0.0008417121,0.3425931,0.000197065,0.00002149629,0.0009026512,0.6367386,0.0001188843,0.001749033,0.0003605034,0.0008043803,0.01547579],"study_design_scores_gemma":[0.00005995423,0.00110296,0.3029934,0.0002439791,0.00002424353,0.0008318164,0.6819074,0.000915331,0.001482734,0.0001578984,0.01021624,0.00006405351],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982651,0.00006918209,0.000295777,0.0001861442,0.000003193333,0.00013161,0.00007764692,0.000003009745,0.0009682756],"genre_scores_gemma":[0.9972326,0.0002871091,0.001000898,0.0002540315,0.000008360059,0.0004260902,0.000111745,0.000004449387,0.0006747709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00848499,"threshold_uncertainty_score":0.04487348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1605891777406546,"score_gpt":0.5344494685180649,"score_spread":0.3738602907774102,"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."}}