{"id":"W4224285116","doi":"10.2196/34483","title":"Reimagining Connected Care in the Era of Digital Medicine","year":2022,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; mHealth; Telehealth; Digital health; Frontier; Pandemic; Telemedicine; Computer science; Coronavirus disease 2019 (COVID-19); Data science; Medicine; Political science","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":[0.0007149499,0.0001184298,0.0003681547,0.0001835903,0.0002492189,0.000004953419,0.00008802456,0.00002653331,0.0001547359],"category_scores_gemma":[0.000088386,0.00007393725,0.00002299885,0.0005703685,0.00009433522,0.00006447413,0.00003941356,0.000721534,9.098884e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001298404,"about_ca_system_score_gemma":0.0005877434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007746015,"about_ca_topic_score_gemma":0.00008760893,"domain_scores_codex":[0.9981119,0.000161498,0.0006421123,0.000227358,0.0004771524,0.0003799575],"domain_scores_gemma":[0.9990393,0.0002206621,0.0002437957,0.0002212634,0.00007093411,0.0002040226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001492073,0.0003083821,0.5367958,0.004898697,0.0000187313,0.00009049145,0.0897108,0.000002957073,0.00003453566,0.003467329,0.01716102,0.3460192],"study_design_scores_gemma":[0.008258882,0.006913975,0.8072391,0.0001596036,0.00008362423,0.0003350411,0.1060032,0.0001004729,0.000005488713,0.00035899,0.07041942,0.0001221858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9307372,0.002663355,0.000012873,0.06341074,0.0001585671,0.00105847,0.00005063208,0.00003211266,0.001876048],"genre_scores_gemma":[0.9894102,0.0002908224,0.0000801608,0.009526541,0.0002053832,0.0001289092,0.0003214731,0.00001373332,0.0000228256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.345897,"threshold_uncertainty_score":0.3134746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05741042281263357,"score_gpt":0.4143381229711265,"score_spread":0.356927700158493,"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."}}