{"id":"W4307515308","doi":"10.1101/2022.10.28.514212","title":"Relatedness coefficients and their applications for triplets and quartets of genetic markers","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Locus (genetics); Identity by descent; Covariance; Cumulant; Genetic marker; Genetics; Biology; Estimator; Allele; Statistics; Mathematics; Gene; Haplotype","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":[0.0003176751,0.0002271229,0.0002911511,0.00003513991,0.0002382997,0.0000720802,0.0002497644,0.0001919756,0.00002792037],"category_scores_gemma":[0.00003146531,0.0001200408,0.00006394443,0.0002194226,0.00007288273,0.00001887923,0.0002739789,0.0001923417,5.998346e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002111915,"about_ca_system_score_gemma":0.00002745341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004111954,"about_ca_topic_score_gemma":0.000004412584,"domain_scores_codex":[0.9987667,0.00005253719,0.0002943897,0.0005249197,0.000126427,0.0002349767],"domain_scores_gemma":[0.9991898,0.000183059,0.0002413849,0.0001391133,0.0001238153,0.0001228339],"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":[0.00004795078,0.0001101249,0.02048043,0.0002817361,0.00006622518,0.000001819771,0.00002196509,0.00005087219,0.9779817,0.000335265,0.0001191994,0.000502673],"study_design_scores_gemma":[0.0004792728,0.0003355506,0.9474578,0.0001580451,0.0001171126,7.293259e-8,0.00006760444,0.001783545,0.01665564,0.00003369796,0.03214081,0.0007708134],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950434,0.001916169,0.0002906987,0.0001391321,0.0001988235,0.001006965,0.001353468,0.00004545693,0.000005873198],"genre_scores_gemma":[0.998485,0.000434795,0.0006564219,0.00003264727,0.00009305498,0.0002880212,0.000002275538,0.0000049265,0.000002911162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9613261,"threshold_uncertainty_score":0.4895122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01696236440463925,"score_gpt":0.1938944552833851,"score_spread":0.1769320908787458,"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."}}