{"id":"W4416141826","doi":"10.2196/87403","title":"Predictors Of Telehealth Use Among Cancer Survivors: Retrospective Study (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Logistic regression; Odds; Retrospective cohort study; Population; Health care; Survivorship curve; Cancer; National Health Interview Survey","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":[0.000525398,0.0001257339,0.0002566771,0.0006144075,0.0003648145,0.0005263566,0.0002095943,0.0003303448,0.001949466],"category_scores_gemma":[0.001809279,0.0003050964,0.0004981172,0.001588983,0.0001456415,0.0005047758,0.000445778,0.0004568896,0.0003467273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002626156,"about_ca_system_score_gemma":0.0003270875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007737877,"about_ca_topic_score_gemma":0.009007718,"domain_scores_codex":[0.9995837,0.0000799785,0.00009702294,0.0000876006,0.00009484485,0.00005687411],"domain_scores_gemma":[0.9988809,0.0001990268,0.0005073315,0.00009454769,0.0001740095,0.0001441995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002125876,0.00001728403,0.9991879,0.00001150858,0.00001459996,0.00001947838,0.00006399005,0.000007288469,0.00002618633,0.000003154221,0.0001165833,0.0005107127],"study_design_scores_gemma":[0.000003352066,0.00006412264,0.9990503,0.00001123556,0.00002339288,0.0001600392,0.0003717512,0.00004956431,0.0000256276,0.000005542696,0.0002327906,0.000002207105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972261,0.0002603038,0.000088381,0.00004920148,0.000006900144,0.00003366429,0.001790958,0.00000494419,0.0005395375],"genre_scores_gemma":[0.9984065,0.0002297996,0.00007340243,0.00005425156,0.000008815657,0.00004520709,0.0009738037,0.000002256774,0.0002060606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007737877,"threshold_uncertainty_score":0.01538569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01696304157438549,"score_gpt":0.3297469258009605,"score_spread":0.312783884226575,"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."}}