{"id":"W6940045049","doi":"10.6084/m9.figshare.14936368","title":"Additional file 4 of A conditional multi-trait sequence GWAS discovers pleiotropic candidate genes and variants for sheep wool, skin wrinkle and breech cover traits","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Candidate gene; Genome-wide association study; Gene; Wool; Sequence (biology); Whole genome sequencing; Genetic variants; Genetic association","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001224328,0.001138949,0.001437495,0.001654397,0.001154472,0.001458479,0.001762661,0.001569538,0.7729928],"category_scores_gemma":[0.01601057,0.0006363653,0.001406362,0.002619603,0.0003468164,0.001169919,0.0008093753,0.0009888912,0.08905917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006148891,"about_ca_system_score_gemma":0.001085795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008212276,"about_ca_topic_score_gemma":0.01876199,"domain_scores_codex":[0.9994571,0.00008457837,0.00007494043,0.0001707512,0.0001226255,0.00009005759],"domain_scores_gemma":[0.9857228,0.01127641,0.0007627669,0.0008609823,0.0009818053,0.0003952455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001081442,0.0003017339,0.01920007,0.004529223,0.0003117879,0.0005432184,0.0001984791,0.0009581341,0.001195856,0.001018797,0.9555869,0.01507439],"study_design_scores_gemma":[0.01571785,0.0009488425,0.1758304,0.004155267,0.001383974,0.003400213,0.000897016,0.005578846,0.004114611,0.01916382,0.7683903,0.0004189836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006864985,0.0000217887,0.000538015,0.00009494767,0.00001950535,0.00006052683,0.9976525,0.0003353179,0.0005909737],"genre_scores_gemma":[0.02253498,0.0001343546,0.008583969,0.0008128745,0.0001088886,0.001622264,0.9550409,0.001383652,0.009778311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7729928,"threshold_uncertainty_score":0.3237981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02720020712819648,"score_gpt":0.2694264160750223,"score_spread":0.2422262089468258,"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."}}