{"id":"W4394162187","doi":"10.6084/m9.figshare.21282415","title":"Additional file 3 of Design and validation of a 63K genome-wide SNP-genotyping platform for caribou/reindeer (Rangifer tarandus)","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier universitaire de Québec; Ministère des Ressources naturelles et des Forêts; University of Calgary; Université Laval","funders":"","keywords":"Genotyping; Biology; SNP; Computational biology; Genetics; Single-nucleotide polymorphism; Genotype; Gene","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":[0.002439567,0.001730396,0.002033322,0.002846172,0.001187174,0.002158458,0.00331232,0.002540387,0.4972477],"category_scores_gemma":[0.01330786,0.0009525212,0.001403608,0.003753837,0.0005767975,0.001237136,0.001448763,0.001360425,0.1381149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127752,"about_ca_system_score_gemma":0.002622382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01362619,"about_ca_topic_score_gemma":0.02918668,"domain_scores_codex":[0.9986972,0.0002234746,0.0001589782,0.000510439,0.0002289221,0.0001810315],"domain_scores_gemma":[0.9905961,0.005971346,0.0005736008,0.001220603,0.00121551,0.0004229326],"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":[0.0003404659,0.00009509004,0.003878212,0.003148414,0.0001523935,0.000070115,0.00006977334,0.001083599,0.0005721875,0.0007718195,0.9854082,0.004409559],"study_design_scores_gemma":[0.004854112,0.0001700149,0.02619481,0.001811058,0.0004737223,0.0002759374,0.0002093258,0.001804083,0.002021824,0.006696404,0.9553357,0.0001529754],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007677822,0.000008479399,0.0001063501,0.00001495896,0.000005386674,0.00001683627,0.9995031,0.0001063631,0.0001616193],"genre_scores_gemma":[0.0009714444,0.00001970713,0.0008999991,0.0001028816,0.000006411994,0.0003663353,0.9965652,0.0001797571,0.0008882723],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4972477,"threshold_uncertainty_score":0.7171151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03453649659986854,"score_gpt":0.2641779144136287,"score_spread":0.2296414178137602,"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."}}