{"id":"W4408311321","doi":"10.21203/rs.3.rs-6132121/v1","title":"Machine-learning driven predictive platform (MDPP) to risk-stratify malaria in pregnancy (MiP)","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Malaria Research and Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Malaria; Pregnancy; Machine learning; Computer science; Artificial intelligence; Medicine; Intensive care medicine; Immunology; Biology","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":[0.001898426,0.0008763808,0.0007969277,0.0006052831,0.000287957,0.0009079233,0.0009666355,0.0008741848,0.00441823],"category_scores_gemma":[0.006786106,0.0004748167,0.0007842503,0.0003727933,0.0002311295,0.00061733,0.001181935,0.001501791,0.001465613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004235707,"about_ca_system_score_gemma":0.001581344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008749105,"about_ca_topic_score_gemma":0.006883895,"domain_scores_codex":[0.9995271,0.0001469037,0.00002586854,0.0001420825,0.0000983645,0.00005968043],"domain_scores_gemma":[0.998675,0.0007965381,0.00006851215,0.0001330974,0.0002379139,0.00008895656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001084997,0.0004645204,0.01172379,0.0002161708,0.0003461837,0.0002377783,0.00008607585,0.6426074,0.002860688,0.006781204,0.01602071,0.3175704],"study_design_scores_gemma":[0.00002387437,0.00005717847,0.0003575422,0.000007989883,0.00001683125,0.00001860558,0.000004095594,0.9947106,0.00058444,0.003552387,0.0006607962,0.00000579282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07433934,0.001509504,0.8938541,0.001935277,0.0008833556,0.0002970701,0.00312484,0.0193175,0.004738981],"genre_scores_gemma":[0.7654261,0.0005283757,0.2249628,0.0007001575,0.0003636031,0.0003208096,0.002967683,0.0003892596,0.00434116],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008749105,"threshold_uncertainty_score":0.01739633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04210190587571779,"score_gpt":0.3831888869778463,"score_spread":0.3410869811021285,"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."}}