{"id":"W2150605374","doi":"10.1111/pcmr.12435","title":"Iris pigmentation as a quantitative trait: variation in populations of European, East Asian and South Asian ancestry and association with candidate gene polymorphisms","year":2015,"lang":"en","type":"article","venue":"Pigment Cell & Melanoma Research","topic":"melanin and skin pigmentation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Genetics; Candidate gene; Quantitative trait locus; IRIS (biosensor); Trait; Genetic association; East Asia; Evolutionary biology; Gene; Genotype; Single-nucleotide polymorphism; Geography; China","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":[0.001269572,0.000133509,0.0001494154,0.0001905443,0.00009905772,0.0000587526,0.00008542787,0.00009225387,0.00001205534],"category_scores_gemma":[0.00009889251,0.0001266638,0.00001799019,0.0002317281,0.00007238924,0.00002692035,0.00006439885,0.0001355371,0.000005873027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000106201,"about_ca_system_score_gemma":0.0001216378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003171382,"about_ca_topic_score_gemma":0.0002065123,"domain_scores_codex":[0.9980456,0.0005441866,0.0002857431,0.0003606371,0.0004979296,0.0002659395],"domain_scores_gemma":[0.9993038,0.00001872107,0.0001918343,0.0001575959,0.000187585,0.0001405042],"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":[0.0006853656,0.0002216417,0.3055424,0.00005611406,0.00006533411,0.00001762719,0.01413415,0.0001040475,0.6767815,0.0005834359,0.0002686844,0.001539722],"study_design_scores_gemma":[0.004681379,0.00231372,0.8903643,0.00006985039,0.00005135123,0.00001792629,0.01018099,0.0005879513,0.09063722,0.0005346485,0.0002269045,0.0003337779],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920739,0.000311613,0.001162695,0.000401447,0.00005525263,0.0004294259,0.00004785872,0.000005768205,0.00551206],"genre_scores_gemma":[0.9961662,0.00005554252,0.002949748,0.00002232095,0.000064342,0.00003623906,0.00033321,0.00002127507,0.0003511317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5861443,"threshold_uncertainty_score":0.5165199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07037238741399923,"score_gpt":0.3366438079719201,"score_spread":0.2662714205579209,"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."}}