{"id":"W2795128719","doi":"10.1016/j.biopsych.2018.02.1176","title":"Quantifying the Effects of 16p11.2 Copy Number Variants on Brain Structure: A Multisite Genetic-First Study","year":2018,"lang":"en","type":"article","venue":"Biological Psychiatry","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Seventh Framework Programme; National Centre of Competence in Research Robotics; Fondation Roger de Spoelberch; Canada Research Chairs; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Centres of Competence in Research SwissMAP; Simons Foundation Autism Research Initiative; Fondation Jean-Louis Lévesque; Institute for Quantitative Social Science, Harvard University; Parkinsonfonden; Harvard University; Simons Foundation; National Science Foundation; Compute Canada; European Commission; Partridge Foundation","keywords":"Copy-number variation; Genetics; Biology; Genetic variants; Psychology; Gene; Genotype; Genome","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001262992,0.0008602049,0.0008087904,0.001117916,0.0006879442,0.000782741,0.0007443488,0.0009882771,0.002093065],"category_scores_gemma":[0.003358844,0.0006116863,0.001304058,0.0008878756,0.0008068128,0.0004467455,0.0009920166,0.001113956,0.0002415131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004887813,"about_ca_system_score_gemma":0.0004320806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006387522,"about_ca_topic_score_gemma":0.01110414,"domain_scores_codex":[0.9992963,0.000195389,0.00002963411,0.000297639,0.0001090939,0.00007183246],"domain_scores_gemma":[0.9977074,0.001037725,0.0003688876,0.000552484,0.0001446219,0.0001888241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003575762,0.0005773613,0.4555753,0.0002712308,0.00432104,0.002335819,0.0007868718,0.008026164,0.4632105,0.001492333,0.0009055337,0.05892213],"study_design_scores_gemma":[0.00009751891,0.0006950794,0.9617291,0.00002222026,0.001170684,0.002821472,0.0001431497,0.007365443,0.02375206,0.001181558,0.0009713443,0.00005038982],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993525,0.0003505326,0.005184405,0.00005764796,0.00001023907,0.00001590951,0.0004763776,0.00004759657,0.0003321859],"genre_scores_gemma":[0.9947931,0.0001532664,0.004145402,0.00004796655,0.00001213782,0.00002709961,0.0003547329,0.00006305127,0.0004033019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006387522,"threshold_uncertainty_score":0.01270068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518695151675553,"score_gpt":0.2735817361749154,"score_spread":0.2583947846581599,"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."}}