{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002927862,0.0003696812,0.0006120192,0.002424416,0.0004230129,0.001002676,0.0008385173,0.0006107852,0.002199513],"category_scores_gemma":[0.01277973,0.000278379,0.0004953584,0.002784412,0.0009093852,0.00141395,0.001317145,0.001439615,0.000571688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005182844,"about_ca_system_score_gemma":0.0005268081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001270007,"about_ca_topic_score_gemma":0.001297227,"domain_scores_codex":[0.9985942,0.0005651877,0.00009681447,0.0002809256,0.000364707,0.00009815449],"domain_scores_gemma":[0.9920541,0.005242288,0.0008724469,0.000856699,0.0006828422,0.0002917071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001421871,0.0001419274,0.01075113,0.0002338178,0.0000822986,0.000504042,0.0005350481,0.1542078,0.01885564,0.5548977,0.003141719,0.2565067],"study_design_scores_gemma":[0.00001385925,0.00004038705,0.004610759,0.00005099149,0.00001974887,0.0003147683,0.00009758128,0.6821634,0.003490728,0.3024881,0.006652803,0.00005681843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08883747,0.0006937722,0.9062976,0.0002568949,0.00009663175,0.00004960864,0.0001638503,0.0002615789,0.003342498],"genre_scores_gemma":[0.4789813,0.0009636394,0.5143709,0.0001111964,0.000174504,0.0001084243,0.0003460798,0.0003080806,0.004635858],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002927862,"threshold_uncertainty_score":0.01548415,"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."}}