{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001937546,0.0005126878,0.0005663093,0.0003967826,0.0003959,0.0007966837,0.0007735187,0.0009393159,0.009690179],"category_scores_gemma":[0.003003466,0.0002345389,0.0008174992,0.0003175242,0.0005085439,0.0009953651,0.0008697916,0.0009369169,0.0003965656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007468602,"about_ca_system_score_gemma":0.001617198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003657575,"about_ca_topic_score_gemma":0.005003999,"domain_scores_codex":[0.9988993,0.000696761,0.00008527219,0.00009322759,0.0001222946,0.0001031233],"domain_scores_gemma":[0.9991111,0.0003663445,0.0001846979,0.0000451546,0.00006429519,0.0002283566],"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":[0.2339055,0.09965,0.009618667,0.01677039,0.001819584,0.0002939958,0.002108939,0.002424283,0.01015578,0.001705092,0.003058163,0.6184896],"study_design_scores_gemma":[0.3407605,0.5927262,0.03274364,0.003486156,0.003016467,0.0001361069,0.00254809,0.004378005,0.005263453,0.001160214,0.01367686,0.0001042514],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749916,0.004105981,0.001520519,0.003649788,0.0004281122,0.009000946,0.0005503821,0.0001082055,0.005644483],"genre_scores_gemma":[0.9828572,0.003742415,0.004540552,0.0007820641,0.0001398785,0.006217247,0.0001316498,0.000004874549,0.001584081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009690179,"threshold_uncertainty_score":0.03241682,"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."}}