{"id":"W4386751307","doi":"10.2196/45518","title":"Telehealth Availability for Cancer Care During the COVID-19 Pandemic: Cross-Sectional Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences","keywords":"Telehealth; Coronavirus disease 2019 (COVID-19); Pandemic; Cross-sectional study; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Telemedicine; Health care; Virology; Political science; Outbreak; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006656689,0.0001633847,0.0002644755,0.0001123122,0.0006262494,0.00002522345,0.0001129287,0.00007491849,0.001007766],"category_scores_gemma":[0.0001808049,0.0001128575,0.00008870803,0.0004881479,0.00008780997,0.00007049563,0.00004551068,0.0002524002,0.0000197474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001504591,"about_ca_system_score_gemma":0.001303905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006968733,"about_ca_topic_score_gemma":0.01330102,"domain_scores_codex":[0.9980163,0.00006909814,0.0005141565,0.0004488765,0.0004619122,0.0004896412],"domain_scores_gemma":[0.9987223,0.0002370693,0.0001655083,0.0003236451,0.0002624121,0.0002891133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005221039,0.00006109612,0.9774302,0.001154373,0.0000594768,0.000004971131,0.004948833,0.00006455363,0.0001208704,0.000005439578,0.01017954,0.00544859],"study_design_scores_gemma":[0.004282229,0.0003097226,0.8480452,0.00001320331,0.00003775987,0.000010982,0.003365939,0.00002664188,0.00002795305,0.00002101703,0.1437658,0.00009347992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885483,0.0005024849,0.00002281099,0.004547461,0.0007315066,0.004925041,0.0003912032,0.0002838335,0.00004729113],"genre_scores_gemma":[0.9833613,0.0002255285,0.00001600159,0.004769651,0.001522831,0.008405099,0.0001232731,0.00003325601,0.001543027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1335863,"threshold_uncertainty_score":0.9999055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1417511812235328,"score_gpt":0.5078084422625364,"score_spread":0.3660572610390036,"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."}}