{"id":"W2109761709","doi":"10.1038/ncomms6681","title":"Whole-genome sequence-based analysis of thyroid function","year":2015,"lang":"en","type":"review","venue":"Nature Communications","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Queen's University; McGill University; McGill University and Génome Québec Innovation Centre; Jewish General Hospital","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; British Heart Foundation; Wellcome Trust","keywords":"Computational biology; Genome; Sequence (biology); Whole genome sequencing; Function (biology); Sequence analysis; Thyroid function; Computer science; Biology; Bioinformatics; Genetics; Thyroid; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0007306202,0.0002466689,0.001095351,0.000347485,0.0001117329,0.00001037618,0.001160288,0.001295722,0.00001139936],"category_scores_gemma":[0.0003891749,0.0002182229,0.0007279748,0.001086506,0.0001544181,0.000001829422,0.0003007064,0.0006264829,0.00001534138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007709807,"about_ca_system_score_gemma":0.0005707265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001538564,"about_ca_topic_score_gemma":0.0002603367,"domain_scores_codex":[0.9980953,0.0006463125,0.0006100496,0.0003298716,0.000134615,0.0001838014],"domain_scores_gemma":[0.9959193,0.000137457,0.0007035852,0.002720468,0.0004427082,0.00007649208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006831149,0.001407796,0.00340849,0.003099654,0.03653849,0.000001616373,0.000124636,0.003133383,0.004720272,0.003696236,0.07788338,0.8659177],"study_design_scores_gemma":[0.00008288975,0.00007969864,0.0003726577,0.00007514899,0.005010542,9.827667e-7,0.000009623987,0.0001088007,6.203168e-7,0.00002498011,0.9940472,0.0001869179],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002032285,0.9964588,0.0004531966,0.0001749989,0.0001341028,0.0002943081,0.001345271,0.00001238779,0.001106593],"genre_scores_gemma":[0.002869322,0.9541166,0.002402618,0.0001548084,0.00007253527,0.0001109112,0.0398626,0.00002691677,0.0003836641],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9161637,"threshold_uncertainty_score":0.9993796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07688203261695589,"score_gpt":0.3805271929161801,"score_spread":0.3036451602992242,"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."}}