{"id":"W4297984196","doi":"10.1371/journal.pone.0275442","title":"Identification and mitigation of high-risk pregnancy with the Community Maternal Danger Score Mobile Application in Gboko, Nigeria","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Society for International Health","funders":"Grand Challenges Canada","keywords":"Medicine; Risk assessment; Pregnancy; Framingham Risk Score; Cohort study; Cohort; Environmental health; Demography; Obstetrics; Disease; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009794333,0.0002984312,0.0002556103,0.0007290895,0.0004737292,0.0006835796,0.0002914712,0.0003056923,0.001066278],"category_scores_gemma":[0.002846127,0.0002209114,0.0002213191,0.0005157784,0.0002886045,0.0004880688,0.0008978265,0.0004957916,0.000136793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004606259,"about_ca_system_score_gemma":0.001821763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01651487,"about_ca_topic_score_gemma":0.02565236,"domain_scores_codex":[0.9994881,0.0002405604,0.00005935826,0.00004264745,0.00007699733,0.00009234192],"domain_scores_gemma":[0.9992349,0.0002292558,0.000300552,0.00002423573,0.00009719167,0.0001139087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009805,0.00009643648,0.9637032,0.0003152748,0.00002671211,0.0003738339,0.001495438,0.0001296364,0.0004059065,0.0001950424,0.0004836495,0.03267686],"study_design_scores_gemma":[0.00001928872,0.0003933313,0.9783409,0.002279049,0.0000695105,0.001239189,0.01073146,0.0009363207,0.0005441515,0.0004784046,0.004945152,0.00002332102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990199,0.003798541,0.0005958783,0.001380193,0.0000756567,0.0001159253,0.0005484935,0.00001137588,0.003274953],"genre_scores_gemma":[0.9936551,0.003810987,0.001518983,0.0001717515,0.00001780939,0.0001056867,0.0002169835,0.000002473326,0.0005003844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01651487,"threshold_uncertainty_score":0.03283751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01608877387553138,"score_gpt":0.2343173629622015,"score_spread":0.2182285890866701,"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."}}