{"id":"W6902334774","doi":"10.6084/m9.figshare.26384558.v1","title":"Additional file 1 of Detection and evaluation of parameters influencing the identification of heterozygous-enriched regions in Holstein cattle based on SNP chip or whole-genome sequence data","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Holstein Cattle; Identification (biology); Sequence (biology); SNP; Dairy cattle; Pattern recognition (psychology)","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":[0.001636613,0.001267169,0.001431677,0.003036104,0.001087714,0.001366577,0.001982789,0.001170263,0.7910619],"category_scores_gemma":[0.01157112,0.0007046296,0.0008929959,0.003275536,0.0003191053,0.0008684315,0.0008466089,0.0008831031,0.1653254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006747639,"about_ca_system_score_gemma":0.001154391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005185943,"about_ca_topic_score_gemma":0.01030655,"domain_scores_codex":[0.999267,0.0001314451,0.00008573976,0.0002360207,0.0001585629,0.0001212126],"domain_scores_gemma":[0.9881556,0.009463882,0.0005274358,0.0006586877,0.0008537174,0.0003407334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007233989,0.0003004507,0.007682489,0.0040926,0.0001385185,0.0002416191,0.0001779499,0.001067239,0.003060395,0.001201255,0.9608665,0.02044763],"study_design_scores_gemma":[0.005686908,0.0007560777,0.09866058,0.002264601,0.0005169019,0.001685895,0.0006923135,0.005759025,0.007613361,0.01162245,0.8643945,0.0003474088],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0004583649,0.00002102353,0.000826022,0.00003788735,0.00002189389,0.00004815442,0.9973236,0.0006475243,0.0006155425],"genre_scores_gemma":[0.008690008,0.0000858881,0.00795539,0.0002913587,0.00005168561,0.001030119,0.9750385,0.001269199,0.00558795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7910619,"threshold_uncertainty_score":0.2980248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042679349719385,"score_gpt":0.3122058872032774,"score_spread":0.207937952231339,"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."}}