{"id":"W2132357234","doi":"10.1634/theoncologist.2013-0314","title":"An mHealth Model to Increase Clinic Attendance for Breast Symptoms in Rural Bangladesh: Can Bridging the Digital Divide Help Close the Cancer Divide?","year":2014,"lang":"en","type":"article","venue":"The Oncologist","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Women's College Hospital; University of Toronto","funders":"Grand Challenges Canada; International Breast Cancer Research Foundation","keywords":"Medicine; mHealth; Attendance; Family medicine; Phone; Breast cancer; Health promotion; Randomized controlled trial; Health care; Nursing; Public health; Cancer; Surgery; Psychological intervention","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005391389,0.0003218679,0.0005133068,0.00007710877,0.003276051,0.00006663422,0.001445632,0.0002141661,0.00006174642],"category_scores_gemma":[0.0007995977,0.0001680192,0.0001143351,0.0004754587,0.0003851058,0.0001483653,0.0003096142,0.001182063,0.0001310963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008536229,"about_ca_system_score_gemma":0.002102446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01675233,"about_ca_topic_score_gemma":0.05941226,"domain_scores_codex":[0.9951271,0.001186543,0.001183357,0.0005800689,0.0003369926,0.001585947],"domain_scores_gemma":[0.992966,0.004066733,0.000592784,0.001511043,0.0001955502,0.0006678865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001162816,0.0004578547,0.1724125,0.0005369314,0.00003294859,0.000001225945,0.004801491,0.00309919,0.00004323212,0.01915079,0.08113462,0.7171664],"study_design_scores_gemma":[0.005380397,0.001030879,0.6515917,0.0008691493,0.0001711347,0.00002364038,0.004269723,0.082217,0.000005437908,0.01741884,0.2361529,0.0008692085],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7152504,0.0003498591,0.007392367,0.259862,0.0007951845,0.01238528,0.001887882,0.0002195329,0.001857526],"genre_scores_gemma":[0.9276105,0.0001959682,0.000114348,0.04392869,0.001811793,0.02510956,0.0000849947,0.00005942007,0.001084697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7162971,"threshold_uncertainty_score":0.9980215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05753068777894978,"score_gpt":0.4429766403923279,"score_spread":0.3854459526133782,"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."}}