{"id":"W2146944559","doi":"10.1111/j.1752-4571.2009.00098.x","title":"Evolutionary genomics of human intellectual disability","year":2009,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Canada Council for the Arts","keywords":"Biology; Intellectual disability; Gene; Genetics; Phenotype; Selection (genetic algorithm); Evolutionary biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000504315,0.0001096967,0.00008967025,0.00002694389,0.0001735124,0.000003728069,0.0002040521,0.00007493204,0.0000561202],"category_scores_gemma":[0.00002139717,0.0001244801,0.00007745342,0.0001417983,0.0002014419,0.00000316777,0.00007011365,0.00005871318,0.00002091763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003714331,"about_ca_system_score_gemma":0.00007098791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005803311,"about_ca_topic_score_gemma":0.000004665227,"domain_scores_codex":[0.9991882,0.00002546012,0.0002406535,0.0002962242,0.0001023383,0.0001471688],"domain_scores_gemma":[0.9994435,0.00001186026,0.00006122157,0.0003560899,0.00006914898,0.00005820925],"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":[0.00003034952,0.000593306,0.004278316,0.000009090792,0.0000213967,9.977097e-8,0.00004861834,0.0002719053,0.9777158,0.004122223,0.009578214,0.003330603],"study_design_scores_gemma":[0.0003632923,0.000427736,0.8490883,0.000004591254,0.00001820014,0.00001374101,0.0001067181,0.0001450205,0.02783927,0.009592555,0.1120903,0.0003103029],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879993,0.0009919358,0.005769494,0.0004117178,0.00003180894,0.0004468216,0.00007274867,0.00002151884,0.004254719],"genre_scores_gemma":[0.9959703,0.0001644394,0.002829719,0.0001268037,0.00004572921,0.00007141202,0.0004940918,0.000009291544,0.0002881945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9498766,"threshold_uncertainty_score":0.507615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00983134421394142,"score_gpt":0.2499016806827831,"score_spread":0.2400703364688417,"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."}}