{"id":"W7132931709","doi":"","title":"Multimedia Features in Electronic Health Records: An Analysis of Vendor Websites and Physicians' Perceptions","year":2011,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vendor; Perception; Health care; Electronic health record; Qualitative analysis; Qualitative research; Health information; Content analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004086269,0.0001286885,0.0002196043,0.0009443788,0.0006711374,0.001655842,0.0003039154,0.0004185921,0.002215092],"category_scores_gemma":[0.01872787,0.000241667,0.0003117168,0.001168945,0.0005563115,0.001281392,0.000979269,0.000532383,0.000214578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000833463,"about_ca_system_score_gemma":0.001214239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004119779,"about_ca_topic_score_gemma":0.005658623,"domain_scores_codex":[0.9975612,0.001151662,0.0001989711,0.0001334762,0.0007615815,0.0001931498],"domain_scores_gemma":[0.9806021,0.01156715,0.004504946,0.0002589003,0.001912733,0.001154056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001833055,0.0004596268,0.8544006,0.0001435779,0.00003668145,0.0002755964,0.1204785,0.0000417985,0.001245306,0.0002773474,0.0004816572,0.0219759],"study_design_scores_gemma":[0.0000182431,0.0002712503,0.8097216,0.0001123595,0.000038319,0.0002968679,0.1869635,0.0003691816,0.0003924449,0.00008939444,0.00170784,0.0000188784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991731,0.00004802646,0.00006439208,0.00009661023,0.000001218294,0.000009911377,0.00002598742,8.747064e-7,0.0005797723],"genre_scores_gemma":[0.9990022,0.0001470132,0.0002881941,0.0001086976,0.000005109548,0.00001995852,0.00006789926,0.000002894523,0.000358071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004119779,"threshold_uncertainty_score":0.0216105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04879588934607047,"score_gpt":0.4872884015654051,"score_spread":0.4384925122193347,"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."}}