{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002066595,0.0001570541,0.0002329943,0.0008544673,0.0005310364,0.0007852886,0.000460896,0.0005717975,0.002019668],"category_scores_gemma":[0.003989793,0.0003655309,0.0004903427,0.001304814,0.0003325301,0.001023545,0.0008265777,0.0008940878,0.0003280503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005477783,"about_ca_system_score_gemma":0.0004292551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070321,"about_ca_topic_score_gemma":0.0128049,"domain_scores_codex":[0.9987953,0.0004062978,0.0001923728,0.0002425352,0.0002069319,0.0001565024],"domain_scores_gemma":[0.9947485,0.001138139,0.002745495,0.0002779014,0.000486719,0.0006033566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000212423,0.00004049254,0.9993362,0.00001066019,0.00002211158,0.00001713382,0.0001560738,0.00001141832,0.00003756448,0.000006824429,0.00005897623,0.0002813891],"study_design_scores_gemma":[0.000002630333,0.0001104624,0.99878,0.000009991698,0.00001188969,0.00009756877,0.0007552902,0.00009426561,0.00002010145,0.000004302354,0.000110646,0.000002829178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988047,0.0001202703,0.00008189516,0.0000427982,0.000003936238,0.00002870095,0.0005997327,0.000001967972,0.0003160263],"genre_scores_gemma":[0.9993517,0.00007877074,0.00009210568,0.00004970131,0.000006375195,0.0000304246,0.0003125925,0.000001314218,0.00007700592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01070321,"threshold_uncertainty_score":0.02128184,"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."}}