{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007120248,0.0001739064,0.0002422982,0.00004596346,0.0001946358,0.0001423092,0.0002073877,0.00008218975,0.957211],"category_scores_gemma":[0.002870504,0.0001682578,0.00004383889,0.000116867,0.00009482495,0.0003984468,0.0001870448,0.00007643869,0.0002253266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002906439,"about_ca_system_score_gemma":0.0002961829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002104877,"about_ca_topic_score_gemma":0.00005207761,"domain_scores_codex":[0.9985774,0.00008246398,0.0002567281,0.0005017677,0.0002927601,0.000288945],"domain_scores_gemma":[0.9983432,0.0009781427,0.0002379804,0.0001514032,0.0001767007,0.0001125724],"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":[0.00002673594,0.00005285421,0.00002908806,0.000421436,0.00001287521,0.00002865283,0.0001074073,0.0004390883,0.18288,0.00008541047,0.8152798,0.0006366884],"study_design_scores_gemma":[0.003233659,0.0004083631,0.3658778,0.004261671,0.00006338242,0.0007470304,0.0001666289,0.02529244,0.0740753,0.001258826,0.5230967,0.001518159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01270115,0.00004324592,0.0001133423,0.00005331151,0.00004881053,0.0002143007,0.9867021,0.00002998592,0.00009375422],"genre_scores_gemma":[0.05140941,0.000003139156,0.02654726,0.0002355504,0.0001431254,0.00074668,0.9198967,0.00002616586,0.0009919904],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9569857,"threshold_uncertainty_score":0.6861355,"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."}}