{"id":"W2996547878","doi":"10.1073/pnas.1919695117","title":"Functional testing of ASD-associated genes","year":2019,"lang":"en","type":"letter","venue":"Proceedings of the National Academy of Sciences","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Canadian Institute for Advanced Research","funders":"","keywords":"Genetics; Computational biology; Gene; Biology","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":[0.002346476,0.0004036037,0.0004529844,0.000471479,0.001080652,0.001001055,0.0008788497,0.00894762,0.004464716],"category_scores_gemma":[0.01132624,0.0001679281,0.0005308929,0.0002425756,0.001342149,0.0006479622,0.0005378457,0.005353042,0.002350934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475529,"about_ca_system_score_gemma":0.001070101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001707086,"about_ca_topic_score_gemma":0.003645445,"domain_scores_codex":[0.9987053,0.0004040888,0.0002078738,0.0001712229,0.0003706431,0.00014089],"domain_scores_gemma":[0.9916121,0.005812593,0.0002058351,0.0004076013,0.001342895,0.0006190994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001044691,0.0003115374,0.0177741,0.0002284841,0.00009351793,0.02819004,0.0003384123,0.0003295634,0.0227172,0.01741299,0.7331297,0.1784298],"study_design_scores_gemma":[0.0006242024,0.0009900944,0.02049897,0.0006819707,0.0001877007,0.03458665,0.000901554,0.003521897,0.03003128,0.06636797,0.8414929,0.0001148941],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02228045,0.004684986,0.002163742,0.9107749,0.03199191,0.00004782869,0.0006899851,0.0002351235,0.027131],"genre_scores_gemma":[0.2518819,0.006399473,0.003579085,0.6621359,0.04276077,0.0001601694,0.0009004707,0.0001235543,0.03205873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00894762,"threshold_uncertainty_score":0.01493597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1372458851877034,"score_gpt":0.3318046192034477,"score_spread":0.1945587340157443,"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."}}