{"id":"W4366121791","doi":"10.2196/44339","title":"Factors Associated With Online Patient-Provider Communications Among Cancer Survivors in the United States During COVID-19: Cross-sectional Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Health Information National Trends Survey; Logistic regression; Odds; Cross-sectional study; Cancer; Odds ratio; Family medicine; Coronavirus disease 2019 (COVID-19); Health care; Gerontology; Demography; Internal medicine; Health information; 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":[0.000344451,0.0001746376,0.0002305395,0.0003566638,0.0004108004,0.00003505488,0.0001922565,0.0000596783,0.0002785396],"category_scores_gemma":[0.0002107851,0.0001113626,0.00003615209,0.00191112,0.0001495086,0.0001180459,0.00006501706,0.0003835804,0.000001830158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006595236,"about_ca_system_score_gemma":0.0003956928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09010345,"about_ca_topic_score_gemma":0.3514389,"domain_scores_codex":[0.9981059,0.000231865,0.0004819359,0.0002617282,0.0005555913,0.0003629719],"domain_scores_gemma":[0.9985343,0.0004487628,0.0002400355,0.0004112009,0.0002005605,0.0001651023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001086178,0.0003967569,0.980814,0.00006780271,0.0001172724,0.00001299063,0.0165839,0.0009812363,0.00001295418,0.000002493026,0.0007247715,0.0001772521],"study_design_scores_gemma":[0.003136445,0.0003048706,0.9663639,0.0000557482,0.00004376249,7.638794e-7,0.02676929,0.0004949756,0.00001113477,0.000007538351,0.002694347,0.0001172243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933174,0.00006581526,0.000002131176,0.003947203,0.000124375,0.001948849,0.0004245379,0.0001585931,0.00001113168],"genre_scores_gemma":[0.9928702,0.0001342746,0.000003100721,0.002310633,0.00007533585,0.001449581,0.002975032,0.0000306703,0.0001512114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2613355,"threshold_uncertainty_score":0.9159557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1601987471853512,"score_gpt":0.4587049311516261,"score_spread":0.2985061839662749,"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."}}