{"id":"W4317753350","doi":"10.2196/39433","title":"Experiences of Connecticut Community Health Center Patients With Telemedicine During the COVID-19 Pandemic","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":"Telehealth; Telemedicine; Pandemic; Phone; Medicine; Coronavirus disease 2019 (COVID-19); Health care; Family medicine; Medical emergency; Disease","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":[0.0008985892,0.0001485772,0.0003416368,0.0001887149,0.0005381995,0.000008474669,0.0001484323,0.00003813362,0.0001258516],"category_scores_gemma":[0.0005497938,0.00008628838,0.00003413369,0.0007382132,0.0002264737,0.0001040763,0.0000623543,0.0003395696,0.000006758975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000169836,"about_ca_system_score_gemma":0.000215528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0011483,"about_ca_topic_score_gemma":0.0001680566,"domain_scores_codex":[0.9983388,0.00005142943,0.0004908207,0.0001831608,0.0005357145,0.0004000962],"domain_scores_gemma":[0.9987474,0.0002203334,0.0003208958,0.0001996185,0.0001980048,0.0003137176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002693378,0.00009936614,0.9113431,0.0006764279,0.00003153482,0.000002205524,0.07796375,3.603494e-7,0.0001130118,0.00002686495,0.008355072,0.001118957],"study_design_scores_gemma":[0.007379405,0.002025622,0.8011615,0.0001689779,0.00003271187,0.00007888749,0.1776808,0.00001128021,0.000218824,0.00003455575,0.0111019,0.0001055583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914702,0.00003644308,0.00002348009,0.007094043,0.0001135484,0.0008665156,0.00001357975,0.0001866902,0.0001954924],"genre_scores_gemma":[0.9907429,0.00006982199,0.00004951156,0.008730094,0.000103696,0.0001032746,0.0001000576,0.0000199927,0.00008070937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1101816,"threshold_uncertainty_score":0.413945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06298178023705434,"score_gpt":0.3741670974789032,"score_spread":0.3111853172418488,"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."}}