{"id":"W2616409171","doi":"10.1177/1753495x17700515","title":"Reverse innovation in maternal health","year":2017,"lang":"en","type":"article","venue":"Obstetric Medicine","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"","keywords":"Health care; Maternal health; Business; Low income; Medicine; Industrial organization; Economic growth; Demographic economics; Environmental health; Economics; Health services; Population","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":[0.01290273,0.0006544081,0.0004705449,0.001881225,0.0030062,0.007711138,0.001383696,0.005657976,0.0112139],"category_scores_gemma":[0.02618852,0.0003146167,0.0008042756,0.001449794,0.01832215,0.007236839,0.008828817,0.004090761,0.001853201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003450581,"about_ca_system_score_gemma":0.004460176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553964,"about_ca_topic_score_gemma":0.001356567,"domain_scores_codex":[0.9858747,0.01006944,0.0004197113,0.0009509079,0.001832838,0.0008523823],"domain_scores_gemma":[0.9632541,0.02928745,0.001839683,0.002984352,0.001582477,0.001051947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004749856,0.00008490216,0.003201201,0.0009237861,0.00003190418,0.0006641684,0.01218673,0.0004682228,0.0005942342,0.8467802,0.013443,0.1215742],"study_design_scores_gemma":[0.00005242656,0.0002115254,0.002596933,0.002203782,0.00004345689,0.001834155,0.008158292,0.001440992,0.001709806,0.5444087,0.4372723,0.00006765964],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05392504,0.04551546,0.1178431,0.1969635,0.005161859,0.0005694183,0.0002590363,0.0005567066,0.5792059],"genre_scores_gemma":[0.8304199,0.0301481,0.0575728,0.03544688,0.003626752,0.0008877206,0.0001481604,0.0001995663,0.04155008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01290273,"threshold_uncertainty_score":0.06823695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1216716898328291,"score_gpt":0.493761505842322,"score_spread":0.3720898160094929,"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."}}