{"id":"W4378190633","doi":"10.1016/j.jogc.2023.04.002","title":"Preparing to Predict and Prevent Preeclampsia in Canada","year":2023,"lang":"en","type":"editorial","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Université Laval","funders":"Fonds de Recherche du Québec - Santé","keywords":"Medicine; Preeclampsia; Obstetrics; Pregnancy; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.01023374,0.002543198,0.0036502,0.005598636,0.005509225,0.01014093,0.003894693,0.01350377,0.009269038],"category_scores_gemma":[0.04860364,0.001257678,0.002016001,0.005928441,0.002152819,0.002204681,0.00126471,0.0153667,0.002656825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02309384,"about_ca_system_score_gemma":0.07620982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5579887,"about_ca_topic_score_gemma":0.7551162,"domain_scores_codex":[0.9927943,0.001084053,0.001162021,0.0003761215,0.003773872,0.0008096789],"domain_scores_gemma":[0.9266857,0.01728307,0.00214267,0.0006397796,0.04169306,0.01155571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002939993,0.000008463821,0.000137717,0.0001799464,0.00002456794,0.00005104703,0.00001767916,0.00001638611,0.000006186297,0.00007847156,0.9972656,0.002184578],"study_design_scores_gemma":[0.0005350945,0.00006771631,0.006380221,0.003670525,0.0007304907,0.000256986,0.001103902,0.0003525022,0.00008158072,0.0006744488,0.9860638,0.00008253844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000163886,0.01675365,0.00004129816,0.1334441,0.8468922,0.00005373833,0.0003896543,0.00002408078,0.002237264],"genre_scores_gemma":[0.004300347,0.04411649,0.0001968107,0.09872776,0.8392687,0.0001304243,0.0002982272,0.00006098935,0.01290022],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.4420113,"threshold_uncertainty_score":0.8892288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009944996962598965,"score_gpt":0.2393194645522029,"score_spread":0.2293744675896039,"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."}}