{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02598052,0.001339028,0.00210158,0.003395922,0.001676879,0.002747129,0.002586013,0.002759013,0.118456],"category_scores_gemma":[0.0533537,0.002107419,0.001310422,0.005781408,0.0007963569,0.002179179,0.001933988,0.002438103,0.03543698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003383801,"about_ca_system_score_gemma":0.01398082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0182018,"about_ca_topic_score_gemma":0.0243704,"domain_scores_codex":[0.985653,0.005136165,0.005234486,0.001958161,0.001246831,0.0007713599],"domain_scores_gemma":[0.963973,0.01071765,0.004092379,0.008581201,0.01095548,0.001680274],"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":[0.004282972,0.0003188744,0.01126818,0.007611106,0.0002703506,0.0001634357,0.0006195958,0.0009241719,0.0003980257,0.005110881,0.9453527,0.02367973],"study_design_scores_gemma":[0.008627653,0.0005194194,0.0454834,0.005664551,0.0003500138,0.0002981856,0.0006264722,0.001206253,0.0007142385,0.005703045,0.9306038,0.0002030244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.001883363,0.0002715535,0.005460888,0.0007833001,0.0003267376,0.08165448,0.9025017,0.0005244184,0.006593589],"genre_scores_gemma":[0.01002842,0.0006003744,0.01305096,0.001517413,0.0001971993,0.5339228,0.4328962,0.0003054824,0.007481128],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.118456,"threshold_uncertainty_score":0.3962749,"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."}}