{"id":"W7116129324","doi":"10.1016/j.eclinm.2025.103695","title":"Prioritizing human-centered cancer care in a digital era","year":2025,"lang":"en","type":"article","venue":"EClinicalMedicine","topic":"Cancer survivorship and care","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Public Health Ontario; University of Toronto","funders":"Robert Wood Johnson Foundation","keywords":"Digital era; Cancer; Center (category theory); Foundation (evidence); Medical care; Patient care","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001759135,0.0001726137,0.0005567225,0.0002040904,0.0000517609,0.00002145703,0.0001223382,0.0001412918,0.0002604605],"category_scores_gemma":[0.000312715,0.0001474711,0.0001395878,0.0004733164,0.000125255,0.0000707543,0.00008137053,0.0005421819,0.00002201742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002410465,"about_ca_system_score_gemma":0.0003076995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007160896,"about_ca_topic_score_gemma":0.003252083,"domain_scores_codex":[0.9984142,0.00002076844,0.0006003275,0.0003978817,0.000257918,0.0003089165],"domain_scores_gemma":[0.9991009,0.0001598285,0.00006435631,0.0003834112,0.0001461067,0.000145425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006257858,0.000257,0.8683905,0.0006318129,0.0001032536,0.0003214318,0.001975101,5.547829e-7,0.0005598315,0.0004263085,0.006525171,0.1201833],"study_design_scores_gemma":[0.01546521,0.000915812,0.787708,0.0065759,0.0002526685,0.00001830345,0.005061192,0.00003417626,0.000192523,0.0005826675,0.1828304,0.00036315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9272194,0.008992109,0.00003142416,0.006659843,0.001452857,0.0004882661,0.00002919134,0.0001065757,0.05502032],"genre_scores_gemma":[0.9909779,0.0002907568,0.00002849041,0.003917491,0.0005694526,0.00005586931,0.00007606184,0.00001927039,0.004064638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1763053,"threshold_uncertainty_score":0.6013697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03392394888319374,"score_gpt":0.3970967405279542,"score_spread":0.3631727916447605,"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."}}