{"id":"W4413114140","doi":"10.2196/79461","title":"Authors’ Reply: Equity-Centered Optimization of Virtual Cancer Survivorship Care","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Ottawa Hospital; Dr. Everett Chalmers Regional Hospital; Princess Margaret Cancer Centre; McMaster University; Cancer Care Ontario; Public Health Ontario; Dalhousie University; University of Toronto; University Health Network","funders":"","keywords":"Survivorship curve; Cancer survivorship; Equity (law); Health equity; Health care; Cancer; Gerontology; Psychology; Medicine; Nursing; Economics; Public health; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004592492,0.0003934287,0.0007859902,0.0005170339,0.001784582,0.002840353,0.001420851,0.02311577,0.01940423],"category_scores_gemma":[0.08222933,0.0003911121,0.000812006,0.0006325183,0.001922693,0.002683795,0.001728265,0.02317751,0.004315321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002845475,"about_ca_system_score_gemma":0.006874904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005282158,"about_ca_topic_score_gemma":0.006071013,"domain_scores_codex":[0.9966643,0.001109389,0.0005204196,0.000422713,0.0007738358,0.0005093311],"domain_scores_gemma":[0.9599867,0.02573846,0.001556567,0.0009184364,0.009371544,0.002428191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008988754,0.00003577441,0.001177599,0.0001624302,0.00003885875,0.000426403,0.0003919245,0.0001831394,0.00009445447,0.005588976,0.9822659,0.00954466],"study_design_scores_gemma":[0.0002372553,0.00008380097,0.002994123,0.0007155756,0.0001252569,0.001254686,0.002921215,0.0009421444,0.0007176953,0.01687744,0.9729654,0.0001655018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0004994914,0.0003288084,0.0001529601,0.9793624,0.01885936,0.000007043073,0.00007797693,0.00001445116,0.0006975024],"genre_scores_gemma":[0.01606341,0.001230166,0.0007022309,0.942548,0.03364731,0.00006915703,0.00006931154,0.00003281985,0.005637488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02311577,"threshold_uncertainty_score":0.06491363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1721273791728047,"score_gpt":0.5455794058361144,"score_spread":0.3734520266633097,"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."}}