{"id":"W2886055271","doi":"10.1097/sga.0000000000000319","title":"A Mobile App to Increase Informed Decisions About Colorectal Cancer Screening Among African American and Caucasian Women","year":2018,"lang":"en","type":"article","venue":"Gastroenterology Nursing","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"College & Association of Registered Nurses of Alberta","funders":"National Institute of Biomedical Imaging and Bioengineering; Center for Future Technologies in Cancer Care, Boston University","keywords":"Colorectal cancer; Medicine; Spouse; Cancer; Colorectal cancer screening; Family medicine; Cancer screening; Usability; Gynecology; Oncology; Internal medicine; Computer science; Colonoscopy","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006111519,0.0002813391,0.000561682,0.0003981164,0.001810111,0.00001715505,0.0002592457,0.0001587645,0.0002345118],"category_scores_gemma":[0.0003167949,0.0002774484,0.00004522373,0.0005334381,0.001002567,0.0001332483,0.0001561738,0.0006502941,0.00008333989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007434182,"about_ca_system_score_gemma":0.0004890331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002951378,"about_ca_topic_score_gemma":0.009940608,"domain_scores_codex":[0.9959329,0.0004212404,0.0008147414,0.0005945126,0.0002107233,0.002025826],"domain_scores_gemma":[0.9967096,0.0003969334,0.0004332635,0.0003940593,0.0002330353,0.001833041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002206088,0.0001475054,0.739014,0.00005224338,0.00003705712,0.000003821503,0.02662882,0.000009920917,0.0001636568,0.00008353541,0.01404746,0.2176059],"study_design_scores_gemma":[0.001673678,0.002507062,0.9160599,0.0005138522,0.00003566521,0.00001957556,0.01721374,0.0003780347,0.000007838859,0.0000953162,0.06130903,0.0001863347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868218,0.00005496978,0.004814964,0.002457813,0.0005010102,0.003153246,0.000103088,0.0001894621,0.001903686],"genre_scores_gemma":[0.9683141,0.0001258314,0.005763628,0.007758571,0.0005969689,0.01719376,0.00002726258,0.00004783731,0.0001720209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2174196,"threshold_uncertainty_score":0.9999678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114775544816342,"score_gpt":0.4001233786876508,"score_spread":0.3789756232394874,"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."}}