{"id":"W2947571609","doi":"10.12688/gatesopenres.12999.1","title":"\"What is the best method of family planning for me?\": a text mining analysis of messages between users and agents of a digital health service in Kenya","year":2019,"lang":"en","type":"preprint","venue":"Gates Open Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Sudbury","funders":"Bill and Melinda Gates Foundation","keywords":"Psychological intervention; Interactivity; Reproductive health; Coding (social sciences); Computer science; Psychology; Medicine; World Wide Web; Population; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0155981,0.0002680434,0.001887721,0.001195061,0.0005526707,0.00009602098,0.001754246,0.000455413,0.0000431562],"category_scores_gemma":[0.000621326,0.0002130949,0.0001568418,0.002170679,0.0001850331,0.0002526615,0.003203001,0.001530893,0.000006497288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002078079,"about_ca_system_score_gemma":0.003705157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026295,"about_ca_topic_score_gemma":0.001116651,"domain_scores_codex":[0.9929707,0.002035051,0.002207108,0.0008396832,0.0008591623,0.001088306],"domain_scores_gemma":[0.9837612,0.01171682,0.00160168,0.001313744,0.001237662,0.000368875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004936553,0.0002094048,0.8995888,0.02382777,0.0009796958,4.598859e-7,0.03911014,0.000795762,0.00003913539,0.0005030528,0.004122809,0.03032937],"study_design_scores_gemma":[0.00372337,0.0007285433,0.7228568,0.0150768,0.0006751189,3.863803e-7,0.2214805,0.01536609,0.00008268449,0.00330245,0.0162134,0.0004938859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283821,0.007096872,0.001191119,0.02371665,0.0001943884,0.03288981,0.004466536,0.00001532154,0.002047192],"genre_scores_gemma":[0.9656254,0.007712406,0.01008691,0.001449915,0.00008110702,0.01281941,0.001184399,0.00009180714,0.000948602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1823704,"threshold_uncertainty_score":0.9862612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.420317479769139,"score_gpt":0.6123373292378572,"score_spread":0.1920198494687182,"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."}}