{"id":"W4410859421","doi":"10.1111/ppe.70029","title":"Weighted Cumulative Exposure Modelling to Assess the Association Between Reproductive Factors and Future Cardiovascular Disease in Women","year":2025,"lang":"en","type":"article","venue":"Paediatric and Perinatal Epidemiology","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Proportional hazards model; Hazard ratio; Cohort; Pregnancy; Disease; Demography; Longitudinal study; Cohort study; Censoring (clinical trials); Confounding; Confidence interval; Internal medicine","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":[0.009694838,0.001033589,0.0008901898,0.002473471,0.0003839263,0.001103092,0.002272739,0.00114692,0.002711796],"category_scores_gemma":[0.0205439,0.0004778848,0.003249633,0.001726462,0.0005357113,0.0006719019,0.001406881,0.001035121,0.0003338681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004053,"about_ca_system_score_gemma":0.001627087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03133175,"about_ca_topic_score_gemma":0.02585446,"domain_scores_codex":[0.9970893,0.002036198,0.0001349695,0.0003779216,0.0002263821,0.0001351013],"domain_scores_gemma":[0.991363,0.006660096,0.0007556942,0.0006430906,0.0004291042,0.0001489302],"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":[0.0005518761,0.0001972837,0.1862827,0.0003156775,0.003205112,0.0004224107,0.0003959057,0.7226059,0.0009213391,0.01902878,0.002728126,0.06334487],"study_design_scores_gemma":[0.00005567285,0.0002836378,0.02483749,0.0000869865,0.0004345503,0.0001866633,0.0001291887,0.9507955,0.0002225939,0.01937302,0.003552434,0.00004238438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2131316,0.001841303,0.7751725,0.001222698,0.0002213116,0.0006155394,0.005115477,0.0005302219,0.002149333],"genre_scores_gemma":[0.8721636,0.001026581,0.1179472,0.0003557149,0.0001144202,0.00117443,0.003622622,0.00007167779,0.003523743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03133175,"threshold_uncertainty_score":0.06229877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04312233892192095,"score_gpt":0.3174732271519176,"score_spread":0.2743508882299966,"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."}}