{"id":"W2952703262","doi":"","title":"The Autism Speaks Mssng Whole Genome Sequencing Resource","year":2018,"lang":"en","type":"article","venue":"INSAR 2018 Annual Meeting","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Autism; Whole genome sequencing; Resource (disambiguation); Genome; Biology; Heritability of autism; Genetics; Computational biology; Genomics; Computer science; Psychology; Autism spectrum disorder; Gene; Psychiatry; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001198266,0.0002256287,0.0001815672,0.0001193325,0.001807871,0.0002817516,0.001062767,0.0001061962,0.0000942258],"category_scores_gemma":[0.001381324,0.0001729897,0.00007630177,0.0005540038,0.0008314803,0.0003244598,0.0006087371,0.0004928215,0.002730916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002125494,"about_ca_system_score_gemma":0.0001423019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002624373,"about_ca_topic_score_gemma":0.0001566207,"domain_scores_codex":[0.9967791,0.0003963607,0.0003766146,0.0006443621,0.0007400532,0.001063491],"domain_scores_gemma":[0.9983819,0.0005399404,0.0001676131,0.0007079573,0.0000311925,0.0001713968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000113262,0.00006950022,0.0005308669,0.00003368908,0.00002211997,0.0001393393,0.01728795,0.00006631858,0.9287056,0.03333355,0.006472621,0.01322515],"study_design_scores_gemma":[0.0005111961,0.0003688889,0.002364327,0.0001042467,0.00001063896,0.0001010007,0.002506399,0.001979085,0.09456237,0.008708419,0.8882284,0.0005550975],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7712258,0.0005092714,0.0003111921,0.01349963,0.0006527277,0.0005921903,0.00007886493,0.0004370928,0.2126933],"genre_scores_gemma":[0.992266,0.00002772723,0.0002330058,0.0007408648,0.0005477203,0.00001590976,0.000001957797,0.00006566564,0.006101177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8817557,"threshold_uncertainty_score":0.9994916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03487807369069074,"score_gpt":0.2927336019126309,"score_spread":0.2578555282219401,"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."}}