{"id":"W3044717243","doi":"10.1200/go.20.00124","title":"Smartphone-Enhanced Training, QA, Monitoring, and Evaluation of a Platform for Secondary Prevention of Cervical Cancer: Opportunities and Challenges to Implementation in Tanzania","year":2020,"lang":"en","type":"article","venue":"JCO Global Oncology","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre; Kingston General Hospital; Ottawa Hospital; Queen's University","funders":"","keywords":"Tanzania; Medicine; Cervical cancer; Visual inspection; Cervical cancer screening; Cervical screening; Cervix; Family medicine; Medical physics; Cancer; Artificial intelligence; Internal medicine; Computer science","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":[0.003703591,0.0003023449,0.0001929142,0.0003152532,0.0004437027,0.0005908999,0.0006313635,0.0003358164,0.002842466],"category_scores_gemma":[0.005394808,0.0002000383,0.0003153007,0.0001939187,0.0003745788,0.0007624726,0.001505347,0.0004498359,0.000401543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008306278,"about_ca_system_score_gemma":0.003196792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070198,"about_ca_topic_score_gemma":0.01396279,"domain_scores_codex":[0.9989074,0.0006541186,0.00006197431,0.00006291287,0.0001112516,0.0002024073],"domain_scores_gemma":[0.9979086,0.0007178112,0.0002894102,0.0001281455,0.0003643801,0.0005916763],"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":[0.001659532,0.002420742,0.4156406,0.002901524,0.0001054545,0.001510156,0.008354842,0.00199404,0.01242025,0.001266415,0.01868117,0.5330453],"study_design_scores_gemma":[0.00112249,0.01663969,0.8838626,0.004014402,0.000368364,0.001407887,0.01603654,0.02292282,0.005726622,0.001365515,0.0463478,0.0001853971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811731,0.001678038,0.004751951,0.005868229,0.0001082001,0.001476483,0.0007217132,0.000539394,0.003682951],"genre_scores_gemma":[0.982382,0.0007144755,0.01438612,0.0008046712,0.00003256936,0.0007023234,0.00023749,0.00001389238,0.0007263746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01070198,"threshold_uncertainty_score":0.02127939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3064063529071275,"score_gpt":0.4858203932292999,"score_spread":0.1794140403221725,"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."}}