{"id":"W1596388122","doi":"10.1038/tp.2015.56","title":"A molecular model for neurodevelopmental disorders","year":2015,"lang":"en","type":"article","venue":"Translational Psychiatry","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Canada Research Chairs; Scottish Rite Charitable Foundation of Canada","keywords":"Biology; Neural stem cell; Chromatin; microRNA; DNA methylation; Cellular differentiation; Gene; Genetics; Computational biology; Stem cell; Cell biology; Gene expression","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":[0.0002688158,0.0007889291,0.0003528509,0.0006647811,0.000597805,0.0009047789,0.00113935,0.001048707,0.00640971],"category_scores_gemma":[0.0004029286,0.0001721476,0.0005657155,0.0003275343,0.001950634,0.00134083,0.0007703053,0.001721225,0.00191621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135063,"about_ca_system_score_gemma":0.001075565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00160862,"about_ca_topic_score_gemma":0.001078275,"domain_scores_codex":[0.9997632,0.0000578401,0.00001380798,0.00009251358,0.00005400327,0.00001864076],"domain_scores_gemma":[0.9998561,0.0000360216,0.00002411814,0.00002526248,0.00003564508,0.00002285411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008360614,0.00005910126,0.00169084,0.0002836057,0.0000737899,0.001468797,0.0002603712,0.00214792,0.01129572,0.9447942,0.01292646,0.02491555],"study_design_scores_gemma":[0.0001536972,0.0002185288,0.002567318,0.0001590853,0.00007859289,0.005688325,0.0002485987,0.01200327,0.003189982,0.7405397,0.2351113,0.00004165142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08324162,0.03221544,0.5703485,0.08354399,0.005420028,0.001164579,0.004478642,0.00259391,0.2169934],"genre_scores_gemma":[0.6465672,0.0196108,0.2312761,0.0130322,0.001580156,0.002109305,0.003226637,0.000178624,0.08241899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00640971,"threshold_uncertainty_score":0.02144259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792751811949099,"score_gpt":0.2575938581563161,"score_spread":0.2396663400368251,"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."}}