{"id":"W4407529813","doi":"10.23889/ijpds.v10i1.2475","title":"Kids' Environment and Health Cohort: Database Protocol","year":2025,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Economic and Social Research Council; Medical Research Council","keywords":"Protocol (science); Database; Cohort; Computer science; Medicine; Environmental health; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003981903,0.0001308643,0.000124503,0.0001799606,0.0007278152,0.0002447697,0.001301631,0.00002803475,0.0004002886],"category_scores_gemma":[0.000350636,0.0001221111,0.00002235579,0.0001942004,0.0003636563,0.002382614,0.001275685,0.0001903966,0.00004788743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008467832,"about_ca_system_score_gemma":0.0001272301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005602384,"about_ca_topic_score_gemma":0.00008102221,"domain_scores_codex":[0.9973781,0.00006031754,0.0004908,0.0007488746,0.0009801337,0.0003418398],"domain_scores_gemma":[0.9988325,0.00006494105,0.0003064617,0.000539045,0.0000238647,0.0002332357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005692107,0.0001580428,0.7882329,0.00002162783,0.00002778983,0.000006460122,0.0001038563,0.001035189,0.001683663,0.001997356,0.007835534,0.1988406],"study_design_scores_gemma":[0.0007579176,0.00005326466,0.8101411,0.000084921,0.000009205888,0.00004337727,0.00005339688,0.02501181,0.0001682114,0.001860146,0.161642,0.0001746834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2394388,0.0001158855,0.5622844,0.05865328,0.00531595,0.1241081,0.002243971,0.0001777649,0.007661864],"genre_scores_gemma":[0.9109318,0.0002988362,0.06844188,0.009587309,0.0004255681,0.00804353,0.0009065004,0.00003982283,0.001324736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.671493,"threshold_uncertainty_score":0.559784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06210322717265559,"score_gpt":0.4276198617667751,"score_spread":0.3655166345941195,"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."}}