{"id":"W4206096179","doi":"10.2196/27501","title":"Iterative Development of a Mobile Phone App to Support Community Health Volunteers During Cervical Cancer Screening in Western Kenya: Qualitative Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Context (archaeology); Population; Medical education; Psychological intervention; General partnership; Medicine; Mobile phone; Cervical cancer; Nursing; Psychology; Computer science; Business; Cancer; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01473517,0.0007967022,0.0005850515,0.001289859,0.008046296,0.002495352,0.001930355,0.001345369,0.002207624],"category_scores_gemma":[0.01987676,0.0007354491,0.0003723804,0.0007881622,0.00442921,0.002480833,0.004000054,0.00182365,0.0003214421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002911429,"about_ca_system_score_gemma":0.007087507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005439966,"about_ca_topic_score_gemma":0.01393905,"domain_scores_codex":[0.9930223,0.005139098,0.0002120911,0.0004642956,0.0004795026,0.0006826383],"domain_scores_gemma":[0.9853613,0.01103037,0.0006457957,0.0003348165,0.001454461,0.001173296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003958412,0.000260991,0.004561448,0.0003383374,0.000006017733,0.00125684,0.9785578,0.00003352503,0.00141115,0.0003744155,0.0006682847,0.01249169],"study_design_scores_gemma":[0.000017692,0.000345454,0.004000319,0.0004813297,0.00001607238,0.0005016685,0.9842187,0.0002262704,0.0007785991,0.000214096,0.009174861,0.00002487856],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894615,0.0003918228,0.003373997,0.001129637,0.00004577752,0.001594171,0.0001204964,0.00003348158,0.003849178],"genre_scores_gemma":[0.9821789,0.0007869672,0.01066532,0.0009589477,0.00001994802,0.002215517,0.0001159395,0.00004962282,0.003008856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01473517,"threshold_uncertainty_score":0.07792801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1931860478054004,"score_gpt":0.5921508610891987,"score_spread":0.3989648132837983,"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."}}