{"id":"W4392465894","doi":"10.1002/jcv2.12222","title":"Intergenerational transmission of genetic risk for hyperactivity and inattention. Direct genetic transmission or genetic nurture?","year":2024,"lang":"en","type":"article","venue":"JCPP Advances","topic":"Attention Deficit Hyperactivity Disorder","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal; Research Unit on Children's Psychosocial Maladjustment; Université Laval","funders":"Fonds de Recherche du Québec - Santé; Fonds de Recherche du Québec-Société et Culture; Canada Research Chairs; Université du Québec à Montréal; Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Université Laval","keywords":"Nature versus nurture; Transmission (telecommunications); Genetics; Biology; Psychology; Developmental psychology; Computer science; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0001308332,0.0002542521,0.0004146072,0.0002007981,0.0001402696,0.00003920419,0.00006976747,0.0001267128,0.0003779432],"category_scores_gemma":[0.0001019813,0.0001887077,0.0002095109,0.0002594769,0.0001033417,0.0002743978,0.00001565406,0.0002089041,0.000007410469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000424549,"about_ca_system_score_gemma":0.000130717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001356291,"about_ca_topic_score_gemma":0.00001427801,"domain_scores_codex":[0.9983089,0.00009378335,0.0004734869,0.0005504195,0.0003392958,0.0002340907],"domain_scores_gemma":[0.9990546,0.0003569142,0.0001192449,0.0001955301,0.0001300345,0.0001436482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008726679,0.0004898324,0.02258448,0.001698023,0.0001996565,0.00003773389,0.0003125698,0.001511686,0.09444004,0.00004020669,0.0002807691,0.8775324],"study_design_scores_gemma":[0.006114224,0.002721927,0.5989931,0.002031804,0.002125913,0.0007264778,0.0006789418,0.1361986,0.01867994,0.002703848,0.2278872,0.001138092],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7265533,0.03976885,0.2315993,0.0007879863,0.0002727485,0.000730683,0.00005664179,0.00008160181,0.0001489204],"genre_scores_gemma":[0.9295563,0.008125377,0.06049662,0.00005097552,0.0001695566,0.0001145505,0.00002747033,0.00005264032,0.001406571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8763943,"threshold_uncertainty_score":0.7695274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021091014579393,"score_gpt":0.3255469392732879,"score_spread":0.3053360291274939,"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."}}