{"id":"W1513935135","doi":"10.1111/ppe.12161","title":"The <scp>C</scp>anadian <scp>H</scp>ealthy <scp>I</scp>nfant <scp>L</scp>ongitudinal <scp>D</scp>evelopment Birth Cohort Study: Biological Samples and Biobanking","year":2014,"lang":"en","type":"article","venue":"Paediatric and Perinatal Epidemiology","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Simon Fraser University; University of Manitoba; University of British Columbia; Public Health Ontario; Hospital for Sick Children; Environment and Climate Change Canada; McMaster University; University of Toronto","funders":"Networks of Centres of Excellence of Canada; Environment Canada; Canadian Institutes of Health Research; Health Canada","keywords":"Biobank; Medicine; Cohort; Asthma; Cohort study; Pediatrics; Family medicine; Bioinformatics; Immunology; Biology; 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":[0.002377571,0.0004897799,0.0004400805,0.002862576,0.004756064,0.001407493,0.001596639,0.000451747,0.006472692],"category_scores_gemma":[0.004330848,0.0004157753,0.0005277733,0.00523412,0.0008114599,0.0003483282,0.001809676,0.0008454919,0.001437402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0181997,"about_ca_system_score_gemma":0.03746684,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9589255,"about_ca_topic_score_gemma":0.9773625,"domain_scores_codex":[0.9983557,0.0001906955,0.0001015573,0.0002499761,0.0007516617,0.0003503573],"domain_scores_gemma":[0.9968191,0.0001924775,0.0003892853,0.0003894149,0.001474966,0.0007347444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000690688,0.0001935616,0.7982584,0.0005733994,0.0002874512,0.0007611025,0.004959141,0.0005556757,0.002554261,0.005359907,0.114411,0.07139544],"study_design_scores_gemma":[0.00004327475,0.00006658565,0.9340264,0.0002492081,0.0000894274,0.0001693553,0.001332838,0.0001675245,0.0008227246,0.0002737721,0.06272524,0.00003362754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6031954,0.003537077,0.007014262,0.005398025,0.0002884862,0.003233966,0.335911,0.0002444806,0.04117726],"genre_scores_gemma":[0.8166013,0.005311066,0.02377351,0.00221292,0.0001576239,0.004903457,0.1077075,0.0002248318,0.0391078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04107445,"threshold_uncertainty_score":0.1320487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03624683070075166,"score_gpt":0.2753488793225738,"score_spread":0.2391020486218221,"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."}}