{"id":"W4360989136","doi":"10.18280/ria.370115","title":"Machine Learning Algorithm and GESTOSIS Score Assisted High Risk Pregnancy Induced Hypertension Prediction","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pregnancy; Computer science; Preeclampsia; Machine learning; High risk pregnancy; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001432171,0.0003857013,0.0005429929,0.0004470358,0.002687912,0.00004109465,0.0003156661,0.0005540865,0.0005024293],"category_scores_gemma":[0.001888703,0.0003712779,0.0001190366,0.001597705,0.0001589409,0.0002913947,0.0003393922,0.001990149,0.002938438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002102052,"about_ca_system_score_gemma":0.0001555971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006118661,"about_ca_topic_score_gemma":0.0005782789,"domain_scores_codex":[0.9951037,0.001027031,0.001398036,0.000965497,0.000427879,0.001077872],"domain_scores_gemma":[0.9962496,0.001619404,0.0005585921,0.0006969292,0.0005165887,0.0003589133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006847382,0.0001366991,0.1969976,0.0005132916,0.00005446936,0.00008922251,0.007490646,0.00428211,0.005254421,0.000986598,0.0006797086,0.7834468],"study_design_scores_gemma":[0.0001247482,0.0005256496,0.02982398,0.002292286,0.00008546232,0.00002923231,0.01017134,0.9408477,0.00874181,0.002956692,0.003885495,0.0005156136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762149,0.001188527,0.01374866,0.001705416,0.002688454,0.001985668,0.0001926237,0.001422659,0.0008531231],"genre_scores_gemma":[0.9896184,0.004648812,0.001060471,0.0001629139,0.0004391258,0.0003360031,0.0002030703,0.0001050065,0.003426168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9365656,"threshold_uncertainty_score":0.9998739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1848115145711146,"score_gpt":0.3875049532061701,"score_spread":0.2026934386350555,"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."}}