{"id":"W6958199970","doi":"10.6084/m9.figshare.26672604","title":"Additional file 3 of Integrating multiple lines of evidence to assess the effects of maternal BMI on pregnancy and perinatal outcomes","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Pregnancy; MEDLINE; Population; Sample (material); Advanced maternal age","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005982601,0.001765536,0.002542817,0.006283831,0.000942514,0.002840353,0.002522332,0.001897513,0.911326],"category_scores_gemma":[0.123226,0.0009998732,0.003159962,0.006863226,0.0004134832,0.003124489,0.0019011,0.001480722,0.08810005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002175382,"about_ca_system_score_gemma":0.004382393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0109777,"about_ca_topic_score_gemma":0.01703089,"domain_scores_codex":[0.9970336,0.0008714798,0.0007455398,0.0005387196,0.0005321486,0.0002784944],"domain_scores_gemma":[0.8224195,0.1587807,0.006232405,0.002661109,0.008636307,0.001269955],"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":[0.0007565584,0.00008301157,0.003544037,0.03865469,0.0005298797,0.0001054919,0.0001218176,0.001018466,0.00007926021,0.002898562,0.9386354,0.01357285],"study_design_scores_gemma":[0.01954018,0.0004758075,0.03739713,0.05259457,0.002990124,0.001015171,0.0007985884,0.003808599,0.0005892841,0.04288114,0.8375692,0.0003402905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001267744,0.0001245668,0.0003265171,0.0002435843,0.00006276152,0.0002691074,0.997146,0.0001574436,0.001543255],"genre_scores_gemma":[0.01997697,0.001555747,0.01771263,0.003580358,0.0006834657,0.01135059,0.9165522,0.001796778,0.02679135],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.911326,"threshold_uncertainty_score":0.1264827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0944362759439299,"score_gpt":0.359350532669214,"score_spread":0.2649142567252841,"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."}}