{"id":"W4414084145","doi":"10.2196/73705","title":"Strategies for Tailoring Patient-Centered Technologies Across the Cancer Continuum: Protocol for a Scoping Review","year":2025,"lang":"en","type":"review","venue":"JMIR Research Protocols","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Protocol (science); Cancer; eHealth; mHealth; Health care; MEDLINE; Cancer screening; Interoperability","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":[0.1015828,0.006119729,0.01160001,0.02116879,0.005755306,0.009117116,0.006652535,0.008491452,0.08489956],"category_scores_gemma":[0.1172353,0.005577949,0.01646268,0.02004532,0.004462148,0.01125858,0.01119919,0.007007195,0.01734775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0157028,"about_ca_system_score_gemma":0.09005086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008931537,"about_ca_topic_score_gemma":0.01807187,"domain_scores_codex":[0.9531159,0.01827575,0.01768462,0.002894587,0.005589706,0.002439431],"domain_scores_gemma":[0.9144448,0.02961116,0.01296069,0.007567208,0.03228063,0.003135481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003888105,0.0007794131,0.001098143,0.7520387,0.001401415,0.001354101,0.008697337,0.002159737,0.002941908,0.007911917,0.08573427,0.1319949],"study_design_scores_gemma":[0.01032501,0.001348772,0.003254523,0.5418758,0.002677262,0.0006092328,0.006370873,0.001079302,0.002321232,0.01221793,0.4174487,0.0004714136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.000240885,0.001164492,0.001849832,0.0005501392,0.0002171887,0.9919275,0.002941887,0.0001070136,0.001001147],"genre_scores_gemma":[0.0002390062,0.001297102,0.005925718,0.000219386,0.00002139285,0.9912692,0.0005529807,0.00001201328,0.0004632051],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1015828,"threshold_uncertainty_score":0.5372277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7264863367648999,"score_gpt":0.7635851110657734,"score_spread":0.03709877430087349,"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."}}