{"id":"W2290339467","doi":"10.2196/resprot.5290","title":"A Community-Engaged Approach to Developing a Mobile Cancer Prevention App: The mCPA Study Protocol","year":2016,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Cancer survivorship and care","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Protocol (science); MCPA; Computer science; Mobile apps; Psychology; Medicine; World Wide Web; Alternative medicine","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":[0.04725384,0.002655967,0.002724817,0.003382499,0.007626408,0.003843561,0.003869917,0.004831831,0.07401029],"category_scores_gemma":[0.04180909,0.003129714,0.002295791,0.002116246,0.002509132,0.003609067,0.005009233,0.009328622,0.02035665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004576464,"about_ca_system_score_gemma":0.03724512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005812204,"about_ca_topic_score_gemma":0.01139918,"domain_scores_codex":[0.9827874,0.01049236,0.00251449,0.001409062,0.001469818,0.001326973],"domain_scores_gemma":[0.977998,0.006669299,0.001230666,0.002434327,0.008959437,0.002708218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02980805,0.02995019,0.005956727,0.04824383,0.0003040512,0.003609452,0.04257006,0.003038652,0.01001932,0.02467561,0.2418457,0.5599784],"study_design_scores_gemma":[0.06069461,0.01582933,0.01926514,0.02649783,0.0004762178,0.0009607414,0.02422697,0.004408274,0.005618347,0.02126891,0.8200853,0.0006683119],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001099846,0.00009637327,0.004187153,0.0003171999,0.0001344359,0.9912413,0.00104426,0.0000626995,0.001816675],"genre_scores_gemma":[0.0004819329,0.0000498655,0.002970242,0.00009926731,0.000009574074,0.9960312,0.00008272821,0.000004183417,0.0002709818],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.07401029,"threshold_uncertainty_score":0.2499051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4143094639827257,"score_gpt":0.5929082766075886,"score_spread":0.1785988126248629,"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."}}