{"id":"W2763516313","doi":"10.2196/resprot.8051","title":"Adoption, Acceptability, and Effectiveness of a Mobile Health App for Personalized Prostate Cancer Survivorship Care: Protocol for a Realist Case Study of the Ned App","year":2017,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Cancer survivorship and care","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Credit Valley Hospital; Public Health Ontario; University of Toronto; University Health Network","funders":"","keywords":"Survivorship curve; Prostate cancer; Medicine; mHealth; Cancer survivorship; Protocol (science); Cancer; Health care; Gerontology; Alternative medicine; Nursing; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.005238845,0.0002344037,0.0007770666,0.0001198773,0.000885053,0.0001077018,0.000425327,0.0001175736,0.00002410877],"category_scores_gemma":[0.0004936625,0.0001590698,0.0001984019,0.0002695243,0.000697139,0.0001381946,0.0003092755,0.000346678,1.351317e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003344872,"about_ca_system_score_gemma":0.001478051,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03816592,"about_ca_topic_score_gemma":0.04320064,"domain_scores_codex":[0.9960782,0.001353623,0.0005641559,0.0006188751,0.0008217189,0.0005634244],"domain_scores_gemma":[0.9951841,0.0006729409,0.0004891622,0.001324638,0.002107088,0.0002220565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06712279,0.005034395,0.6394212,0.1692257,0.0002378765,0.00003089195,0.05684733,0.000007377038,0.001305289,0.0004113328,0.0008118022,0.05954403],"study_design_scores_gemma":[0.1554022,0.1009718,0.3824046,0.02677858,0.0001227609,0.0001780514,0.1404438,0.0001595107,0.01551834,0.001201088,0.1757119,0.001107376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.1620502,0.00001107948,0.00001927447,0.0001579751,0.00001333125,0.8373777,0.0002985517,0.000023516,0.00004844812],"genre_scores_gemma":[0.2939641,4.159564e-7,0.00005425094,0.00000864658,0.00006946332,0.7057092,0.000006620889,0.00003781818,0.0001494265],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.2570166,"threshold_uncertainty_score":0.9742585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2201195977685971,"score_gpt":0.5800574409090791,"score_spread":0.3599378431404819,"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."}}