{"id":"W4394898033","doi":"10.2196/54317","title":"Embedding the Use of Patient Multimedia Educational Resources Into Cardiac Acute Care: Prospective Observational Study","year":2024,"lang":"en","type":"article","venue":"JMIR Nursing","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Baker Foundation","keywords":"Preprint; Observational study; Embedding; Peer review; Medicine; Multimedia; Medical emergency; Computer science; Internal medicine; World Wide Web; Political science; Artificial intelligence","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":[0.002942758,0.0003047734,0.0005367653,0.001373585,0.001181293,0.0012375,0.0005925713,0.00104427,0.002323388],"category_scores_gemma":[0.009004701,0.0007162389,0.000778036,0.001865135,0.0006926163,0.001246405,0.001235584,0.001508663,0.0005258542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008822142,"about_ca_system_score_gemma":0.001759001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005819507,"about_ca_topic_score_gemma":0.008152002,"domain_scores_codex":[0.9970932,0.001189604,0.0004969226,0.000382247,0.0004787044,0.0003593606],"domain_scores_gemma":[0.9891017,0.003036279,0.005240125,0.0005026747,0.0008590722,0.001260101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003257723,0.001004337,0.9952396,0.0001034676,0.00006292366,0.00008904744,0.0008932264,0.0000306194,0.0001075406,0.00001671912,0.0001521895,0.001974388],"study_design_scores_gemma":[0.00007837365,0.00364395,0.9911489,0.0000939711,0.00007669477,0.0003347296,0.003725398,0.0002460929,0.0001051512,0.00002355766,0.0004981004,0.00002501613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989024,0.0001601963,0.00008878364,0.00002632493,0.000003635941,0.0001799954,0.0002991323,0.00000242753,0.0003369414],"genre_scores_gemma":[0.998747,0.0002160233,0.0002726107,0.00008841607,0.00001438502,0.0002673983,0.000307847,0.000002610424,0.00008364187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005819507,"threshold_uncertainty_score":0.01556295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07082577197675945,"score_gpt":0.4302939961792265,"score_spread":0.359468224202467,"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."}}