{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002829303,0.0004946638,0.0007543298,0.001306734,0.0001818103,0.0006416115,0.0003596247,0.0004649063,0.001472565],"category_scores_gemma":[0.007809365,0.0001342421,0.0005490661,0.0005762565,0.0001603167,0.0002976002,0.0003802695,0.0006295174,0.0005805591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002127481,"about_ca_system_score_gemma":0.0004864371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001286456,"about_ca_topic_score_gemma":0.000874299,"domain_scores_codex":[0.9988346,0.0007115527,0.00008138995,0.0001221885,0.0001860272,0.00006424161],"domain_scores_gemma":[0.9963735,0.002453445,0.0002777124,0.0001840563,0.0005837861,0.0001275296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002138337,0.001102577,0.4738266,0.0001405446,0.0005135133,0.0002295136,0.0001361943,0.06750418,0.005508299,0.0009023564,0.002596417,0.4454015],"study_design_scores_gemma":[0.00012467,0.001536117,0.1683135,0.00007082512,0.0002390492,0.0005847374,0.00008252342,0.8208138,0.004288291,0.002064105,0.001832686,0.00004958259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8192745,0.00144142,0.1700608,0.0005483982,0.000255042,0.0003343967,0.0008814112,0.0009400648,0.006264033],"genre_scores_gemma":[0.958775,0.0002215983,0.03947977,0.00007305544,0.0000565641,0.00009202912,0.0003870735,0.00001629582,0.0008985514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002829303,"threshold_uncertainty_score":0.01496291,"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."}}