{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003563093,0.0001478581,0.0002032166,0.0007512541,0.0003238308,0.0004819903,0.0001845254,0.0003707471,0.0007620786],"category_scores_gemma":[0.0006823633,0.00006825727,0.0001270457,0.0005200506,0.0006180521,0.0003187818,0.0006149035,0.0003109874,0.00006563679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005968325,"about_ca_system_score_gemma":0.0002645075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001508916,"about_ca_topic_score_gemma":0.00133632,"domain_scores_codex":[0.9997887,0.00007898395,0.000006267651,0.00004654293,0.00003539037,0.00004405394],"domain_scores_gemma":[0.9998522,0.00006008006,0.00003296728,0.00001015091,0.00001751955,0.00002704766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006300124,0.0002916563,0.3184322,0.0005648281,0.000626537,0.003807329,0.004150844,0.015861,0.180437,0.1073318,0.001614124,0.3662528],"study_design_scores_gemma":[0.00002118568,0.0002194222,0.9274977,0.00005710273,0.0000713497,0.001873445,0.0009875956,0.003025229,0.002501155,0.05471884,0.008998999,0.00002796536],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828509,0.003413059,0.002834935,0.001736684,0.00001026977,0.0000158505,0.0001350633,0.0000139849,0.008989078],"genre_scores_gemma":[0.9964671,0.001777166,0.0008978236,0.0001621113,0.00002945933,0.00001039334,0.0001136938,0.000003521194,0.0005386495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001508916,"threshold_uncertainty_score":0.004330397,"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."}}