{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.01454067,0.001913421,0.002730291,0.0006081706,0.003381936,0.0002705842,0.001742461,0.001291697,0.00007835258],"category_scores_gemma":[0.06015638,0.001522781,0.0004748655,0.001378758,0.003173597,0.0006460327,0.002632515,0.002443672,0.0009618648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009247731,"about_ca_system_score_gemma":0.0002787206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004484726,"about_ca_topic_score_gemma":0.00130686,"domain_scores_codex":[0.9817855,0.004728717,0.002835977,0.004346103,0.001207058,0.005096647],"domain_scores_gemma":[0.927912,0.06658185,0.001615153,0.001455791,0.00009308261,0.002342144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005986089,0.0002849624,0.9714731,0.000153845,0.0002445828,0.0001402562,0.00365229,0.0002014942,0.0001255091,0.0007240502,0.009579331,0.01341457],"study_design_scores_gemma":[0.001212757,0.001032937,0.6650577,0.00003528297,0.0001419502,0.0002423526,0.005859735,0.0008731973,0.00004663677,0.001716843,0.32364,0.0001406075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975693,0.009051772,0.002351145,0.0005684146,0.001107821,0.003029115,0.0003461823,0.000327017,0.007525488],"genre_scores_gemma":[0.9681926,0.0211534,0.002790182,0.0034818,0.001208145,0.0007539142,0.0002117573,0.0002038279,0.002004409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3140607,"threshold_uncertainty_score":0.9998577,"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."}}