{"id":"W2094062655","doi":"10.1002/humu.21270","title":"HGV2009 meeting: bigger and better studies provide more answers and more questions","year":2010,"lang":"en","type":"article","venue":"Human Mutation","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; SickKids Foundation","funders":"National Human Genome Research Institute","keywords":"Hum; Genome-wide association study; Biology; Genome; Human genome; Computational biology; Data science; Genetics; Single-nucleotide polymorphism; Gene; Computer science; Genotype","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":[0.00005519135,0.000080341,0.0000620413,0.00002933796,0.0001460501,0.00003077378,0.00002962389,0.00005394469,0.000002896703],"category_scores_gemma":[0.00005092076,0.00007183276,0.00001888085,0.00001815612,0.0001340406,0.000004495273,0.00003448745,0.00004718796,8.391598e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000268017,"about_ca_system_score_gemma":0.00001396714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001911266,"about_ca_topic_score_gemma":0.0001007099,"domain_scores_codex":[0.9995836,0.00001211851,0.0000874344,0.0001871354,0.00004357576,0.00008611711],"domain_scores_gemma":[0.999746,0.000005791016,0.00003923085,0.00009776816,0.00006566446,0.00004560584],"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":[0.00001654485,0.00003879142,0.01809096,0.00005820285,0.00007552903,0.00001240528,0.001247112,0.00001867939,0.9730812,0.00028366,0.001625976,0.00545089],"study_design_scores_gemma":[0.002342905,0.0006022019,0.8427157,0.00009991299,0.0003422715,0.0001826697,0.006545555,0.0003802183,0.1076461,0.004631676,0.03337903,0.001131844],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980821,0.0009995282,0.00001619589,0.0006227354,0.00005544145,0.0001078867,0.00001068829,0.000009061896,0.00009637728],"genre_scores_gemma":[0.9986159,0.00007816767,0.0005259126,0.0003533625,0.000130417,0.0000170462,0.0001043469,0.00001025691,0.0001645614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8654352,"threshold_uncertainty_score":0.2929255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146061520624177,"score_gpt":0.2978841431662883,"score_spread":0.2864235279600465,"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."}}