{"id":"W4382459229","doi":"10.2196/41676","title":"TELEMED: Database on Evidence-Based Telemedicine in a Hospital Setting","year":2023,"lang":"en","type":"article","venue":"Iproceedings","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Specialty; Psychological intervention; Health care; Medicine; MEDLINE; Data extraction; Randomized controlled trial; Pandemic; Telecare; Medical emergency; Nursing; Family medicine; Coronavirus disease 2019 (COVID-19)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001282279,0.000257371,0.0004037947,0.0009496342,0.000122244,0.00002133812,0.0001414021,0.0000902541,0.0002589485],"category_scores_gemma":[0.00213222,0.0002208148,0.00006615148,0.001869683,0.00007025964,0.0003132046,0.00005197197,0.0004561375,0.0002650575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001909587,"about_ca_system_score_gemma":0.0002481375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002190405,"about_ca_topic_score_gemma":0.00001986428,"domain_scores_codex":[0.9971877,0.00001899578,0.000674213,0.000550746,0.0008274037,0.000740938],"domain_scores_gemma":[0.9987129,0.0003806302,0.0001834063,0.0002487138,0.0001698556,0.0003044852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007548722,0.0004667456,0.6551123,0.00158404,0.00003962888,0.0007391346,0.002892244,0.000007951562,0.01517417,0.0005325799,0.2379462,0.08475017],"study_design_scores_gemma":[0.0164368,0.0095781,0.868607,0.008603564,0.0001909883,0.00007700136,0.00943206,0.005335792,0.0195184,0.0002705737,0.06113698,0.0008127674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9429281,0.0001036184,0.00004442276,0.05420828,0.0003000682,0.001134258,0.00001555942,0.0004293839,0.0008363184],"genre_scores_gemma":[0.9893194,0.0001428522,0.0009499587,0.008132762,0.0007786894,0.0001877119,0.0002290746,0.00005115677,0.0002084254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2134947,"threshold_uncertainty_score":0.9004567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05876018597172015,"score_gpt":0.3697825888511477,"score_spread":0.3110224028794276,"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."}}