{"id":"W6939659620","doi":"10.6084/m9.figshare.27140569","title":"Additional file 1 of A large structural variant collection in Holstein cattle and associated database for variant discovery, characterization, and application","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Alberta","funders":"","keywords":"Sequence (biology); Sample (material); Holstein Cattle; Structural variation; Sequence database; File format","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":[0.001681658,0.001042673,0.001315518,0.002685074,0.001002145,0.001602193,0.002010668,0.001269139,0.4309321],"category_scores_gemma":[0.008529543,0.0006337382,0.0007552653,0.004804912,0.0003296847,0.0009400012,0.001197927,0.001236224,0.07728286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136959,"about_ca_system_score_gemma":0.002282995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01410602,"about_ca_topic_score_gemma":0.03056285,"domain_scores_codex":[0.9992804,0.0001043747,0.0001130997,0.0002521491,0.0001166498,0.0001334005],"domain_scores_gemma":[0.9954742,0.002590212,0.0004702566,0.0005106676,0.0006174797,0.0003372107],"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":[0.0003146562,0.00008661903,0.005262498,0.00173904,0.00009278901,0.00006874974,0.00006420451,0.0003610896,0.000478353,0.0007840591,0.9851959,0.00555207],"study_design_scores_gemma":[0.002320112,0.0001411444,0.04325581,0.001432949,0.0002686775,0.000435266,0.0002252459,0.0007876916,0.001302616,0.004692365,0.9450493,0.00008878473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001204172,0.00001446284,0.00007669332,0.0000161739,0.000005413483,0.00001320637,0.9995145,0.00005550432,0.0001836278],"genre_scores_gemma":[0.0009138439,0.00003167566,0.0006340212,0.00007664761,0.000008523502,0.0001725344,0.9973852,0.00008824837,0.0006894263],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4309321,"threshold_uncertainty_score":0.8117063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124434710539932,"score_gpt":0.2226456166778717,"score_spread":0.2114012695724724,"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."}}