{"id":"W2761793335","doi":"10.1038/s41467-017-00595-4","title":"A large scale hearing loss screen reveals an extensive unexplored genetic landscape for auditory dysfunction","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Hearing, Cochlea, Tinnitus, Genetics","field":"Neuroscience","cited_by":153,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Centre for Phenogenomics; Hospital for Sick Children; Mount Sinai Hospital","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Centre National de la Recherche Scientifique; Institut National de la Santé et de la Recherche Médicale; National Human Genome Research Institute; Wellcome Trust; Agence Nationale de la Recherche; Government of Canada; PHENOMIN; European Commission; Genome Canada; Ontario Genomics; National Institutes of Health","keywords":"Hearing loss; Candidate gene; Biology; Loss function; Genetics; Gene; Auditory system; Genetic screen; Genetic heterogeneity; Phenotype; Audiology; Medicine; Neuroscience","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":[0.0002523554,0.0005298134,0.000457866,0.001251133,0.0002764785,0.0003869411,0.0003168683,0.00035543,0.001177518],"category_scores_gemma":[0.0002957842,0.0001794243,0.0003857268,0.0004212395,0.0002608802,0.0001348204,0.0004345439,0.0003314356,0.0003194517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000149961,"about_ca_system_score_gemma":0.0001531058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006104826,"about_ca_topic_score_gemma":0.00231328,"domain_scores_codex":[0.9997308,0.00003008396,0.00002873809,0.00006548432,0.0001079586,0.00003695854],"domain_scores_gemma":[0.9996943,0.0001108286,0.00006952589,0.00003982816,0.00002256121,0.00006301999],"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":[0.0001207095,0.00004256748,0.004243208,0.00003419927,0.00002536607,0.0005056239,0.0000317537,0.0001230057,0.9899495,0.0000740743,0.0001158037,0.004734299],"study_design_scores_gemma":[0.00008888406,0.001325422,0.2454978,0.00005682089,0.0004035744,0.01182573,0.0002362699,0.002685768,0.7315854,0.0004248705,0.005815799,0.00005357791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939284,0.0007177636,0.003334858,0.0001118935,0.000009063799,0.00002215272,0.0009437587,0.0001696217,0.0007624259],"genre_scores_gemma":[0.9867237,0.001572078,0.007599545,0.0002307265,0.000008737063,0.00004080269,0.002100344,0.00007058025,0.001653648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001251133,"threshold_uncertainty_score":0.003939211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07487564352793609,"score_gpt":0.3526327377351743,"score_spread":0.2777570942072382,"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."}}