{"id":"W3195290463","doi":"10.1097/hjh.0000000000002995","title":"Maternal blood pressure trajectories and associations with gestational age at birth: a functional data analytic approach.","year":2022,"lang":"en","type":"article","venue":"PubMed","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Blood pressure; Gestational age; Pregnancy; Obstetrics; Multivariate analysis; Analysis of variance; Multivariate statistics; Cohort study; Internal medicine; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.005913561,0.0003008062,0.0003619313,0.001896347,0.0004294786,0.0006247242,0.0006733497,0.0003799108,0.001164998],"category_scores_gemma":[0.01746632,0.0001580698,0.001022577,0.002029559,0.0004174479,0.0004437475,0.0006054308,0.0005985498,0.0001105736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008992245,"about_ca_system_score_gemma":0.001698216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01623028,"about_ca_topic_score_gemma":0.01966829,"domain_scores_codex":[0.9986601,0.0009608745,0.00009123303,0.0001276855,0.00012134,0.0000387919],"domain_scores_gemma":[0.9941276,0.00408871,0.0008040373,0.0004592171,0.0003707253,0.000149635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009035013,0.0002027839,0.8045213,0.001116315,0.003351499,0.0003720022,0.00153569,0.01186364,0.001479649,0.005284246,0.005849108,0.1635202],"study_design_scores_gemma":[0.00007351924,0.0003990736,0.864448,0.0004902495,0.0009645921,0.0003292001,0.001352247,0.1134424,0.0007696896,0.01247806,0.005188663,0.00006437069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8267601,0.003664373,0.1529304,0.003215658,0.00009591672,0.0005560662,0.01074743,0.000213313,0.001816724],"genre_scores_gemma":[0.9290523,0.0007890161,0.06599142,0.0001138809,0.00001543322,0.0006353108,0.003090216,0.0000181078,0.0002943438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01623028,"threshold_uncertainty_score":0.03227162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05177331930300518,"score_gpt":0.2427438506796668,"score_spread":0.1909705313766616,"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."}}