{"id":"W3107776007","doi":"10.1371/journal.pone.0242684","title":"Complex genetic dependencies among growth and neurological phenotypes in healthy children: Towards deciphering developmental mechanisms","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Birth, Development, and Health","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute; Canadian Institute for Advanced Research","funders":"National University Health System; Tampereen Yliopisto; Singapore Eye Research Institute; National University of Singapore; Agency for Science, Technology and Research; Singapore Institute for Clinical Sciences; Duke-NUS Medical School; Bill and Melinda Gates Foundation","keywords":"Phenotype; Biology; Genetics; Pleiotropy; Gene; Population; Computational biology; 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":[0.001722677,0.0005903614,0.0006387797,0.001495219,0.0002811752,0.0008848727,0.0004885123,0.0004008449,0.001896877],"category_scores_gemma":[0.004069974,0.0003025924,0.0005378528,0.001108747,0.001212784,0.0008340445,0.0008773684,0.0008354087,0.000138384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004070763,"about_ca_system_score_gemma":0.0007291367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00402916,"about_ca_topic_score_gemma":0.004169817,"domain_scores_codex":[0.9989684,0.0003903368,0.00007037607,0.0002972283,0.0001785789,0.00009510691],"domain_scores_gemma":[0.9963213,0.002014959,0.0009881026,0.0003480927,0.0001634779,0.0001641372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004465423,0.00008177127,0.9269676,0.0001525701,0.0005212639,0.001463617,0.0004765698,0.004407471,0.02714771,0.00648202,0.0002843478,0.03156854],"study_design_scores_gemma":[0.000008931948,0.00009439359,0.9794502,0.00003218519,0.0001655276,0.0007435518,0.0002487324,0.006166243,0.003098687,0.009312356,0.0006474674,0.00003184306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639551,0.003025413,0.02845065,0.0008171533,0.00001423847,0.00003112751,0.00134437,0.0001140727,0.002247803],"genre_scores_gemma":[0.9915383,0.0009672814,0.006751151,0.00007999781,0.00001561214,0.000021646,0.0003605858,0.00002304875,0.000242437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00402916,"threshold_uncertainty_score":0.00911051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07472385737859773,"score_gpt":0.2521242071031231,"score_spread":0.1774003497245253,"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."}}