{"id":"W4416572775","doi":"10.1093/ije/dyaf195","title":"Data Resource Profile: The Enfants du Québec dataset","year":2025,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université du Québec à Montréal; Hôpital Notre-Dame; Université de Montréal","funders":"","keywords":"Resource (disambiguation); Data collection; MEDLINE; Population; Public health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008992629,0.00005851999,0.0002150563,0.0001241031,0.0002135939,0.00003761592,0.003161541,0.00003703463,0.0004565349],"category_scores_gemma":[0.02090882,0.00003619337,0.00006960666,0.0001073658,0.0003906318,0.0002722852,0.0005462034,0.000232634,0.00002299704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006998317,"about_ca_system_score_gemma":0.0006282158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01439186,"about_ca_topic_score_gemma":0.02400932,"domain_scores_codex":[0.9976009,0.001248859,0.0005992704,0.000151007,0.0002318771,0.0001680473],"domain_scores_gemma":[0.9940861,0.004860601,0.0004897846,0.0003612288,0.0001473246,0.00005489575],"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":[0.00003205395,0.00002995009,0.04404793,9.78747e-7,0.0002606092,0.00001534973,0.0002820866,0.00003464711,0.00001409183,0.03644482,0.8713199,0.04751761],"study_design_scores_gemma":[0.0001044502,0.000007603176,0.01145324,0.00003026908,0.00003380639,0.00001208344,0.0004883428,0.0004894727,0.000001465695,0.003217648,0.9841289,0.00003272456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02024337,0.003113926,0.02143076,0.8826141,0.003783702,0.0002005812,0.006286676,0.00002371757,0.06230317],"genre_scores_gemma":[0.9391215,0.002428016,0.004370281,0.04159999,0.005185393,0.000004988937,0.003660423,0.00001320828,0.003616228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9188781,"threshold_uncertainty_score":0.9938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09144668163290691,"score_gpt":0.4528247996339212,"score_spread":0.3613781180010143,"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."}}