{"id":"W3038470642","doi":"10.1200/jgo.19.00191","title":"Innovative Use of mHealth and Clinical Technology for Oncology Clinical Trials in Africa","year":2020,"lang":"en","type":"article","venue":"JCO Global Oncology","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Cancer Institute","keywords":"mHealth; Context (archaeology); Clinical trial; Mobile technology; Medicine; Referral; Health technology; Health care; Internet privacy; Business; Computer science; Mobile device; Psychological intervention; Economic growth; Family medicine; Nursing; Pathology; Geography; World Wide Web; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09161437,0.0004126148,0.0005693801,0.002757819,0.001913684,0.006665256,0.001484886,0.002027354,0.01188814],"category_scores_gemma":[0.1710819,0.0004192996,0.0007497497,0.003200336,0.003224846,0.005595584,0.006202991,0.002586995,0.001720782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004598061,"about_ca_system_score_gemma":0.02306573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002716473,"about_ca_topic_score_gemma":0.004847318,"domain_scores_codex":[0.9300238,0.06086592,0.003364329,0.001207681,0.002525087,0.002013242],"domain_scores_gemma":[0.7962745,0.1519707,0.01724811,0.008513064,0.01167035,0.01432326],"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":[0.002218574,0.0006491153,0.03141624,0.00906156,0.000254068,0.001058958,0.007247584,0.0007593093,0.001904936,0.02641531,0.03331184,0.8857025],"study_design_scores_gemma":[0.004456347,0.008121705,0.1177531,0.07050888,0.0007132468,0.003592244,0.01827169,0.003568176,0.006182481,0.06332107,0.7030953,0.0004157773],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1622479,0.1906945,0.03074476,0.468067,0.005897081,0.01039133,0.002440507,0.0006022474,0.1289146],"genre_scores_gemma":[0.7667047,0.1071425,0.07111794,0.03686053,0.00285415,0.009017114,0.0006243578,0.0002334156,0.005445146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09161437,"threshold_uncertainty_score":0.4845089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6196032118264608,"score_gpt":0.673993863842958,"score_spread":0.05439065201649718,"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."}}