{"id":"W4211115791","doi":"10.1186/s41256-022-00240-8","title":"Assessment and validation of the Community Maternal Danger Score algorithm","year":2022,"lang":"en","type":"article","venue":"Global Health Research and Policy","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; HIV Legal Network; Canadian Society for International Health","funders":"Grand Challenges Canada","keywords":"Medicine; Underweight; Logistic regression; Eclampsia; Overweight; Medical record; Caesarean section; Public health; Obstetrics; Pregnancy; Vital signs; Body mass index; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001569074,0.00006622566,0.0001675016,0.00006346988,0.0009877174,0.0000175393,0.0001292452,0.00002322035,0.00003403621],"category_scores_gemma":[0.00002955628,0.00004548474,0.00002115064,0.000377628,0.0001753222,0.00002694557,0.0005059845,0.0005992964,0.000001351134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000528249,"about_ca_system_score_gemma":0.001030387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0436609,"about_ca_topic_score_gemma":0.0001042654,"domain_scores_codex":[0.99786,0.0008063316,0.0002029047,0.0001076452,0.0006279147,0.0003952637],"domain_scores_gemma":[0.9992535,0.00004500436,0.0000656179,0.0002234529,0.00009947833,0.0003129826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002334033,0.0004376612,0.7829369,0.001148219,0.00003366808,0.000008377852,0.0006206224,0.000002705464,0.00005133507,0.02967864,0.007244387,0.1776041],"study_design_scores_gemma":[0.000619936,0.001114424,0.9843635,0.00007297426,0.000002716228,0.0001846737,0.0003470607,0.0000520327,0.00003303854,0.008024245,0.005157783,0.00002761921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748479,0.0004938363,0.000008440682,0.02142072,0.00006231058,0.0004409197,0.0003655858,0.000009296232,0.002350973],"genre_scores_gemma":[0.9962087,0.0004514648,0.0002047882,0.002789496,0.0001200506,0.00001715817,0.0000182297,0.000004090377,0.0001860445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2014266,"threshold_uncertainty_score":0.9627075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1262949197300943,"score_gpt":0.5067680744580825,"score_spread":0.3804731547279882,"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."}}