{"id":"W4394390944","doi":"10.6084/m9.figshare.21282412","title":"Additional file 2 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; SNP; 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":[0.001989589,0.001537892,0.001909058,0.002471115,0.001111904,0.001981195,0.002988727,0.00224052,0.4697449],"category_scores_gemma":[0.01042063,0.0008725409,0.001204174,0.003651928,0.0005311058,0.00110926,0.001339645,0.001397951,0.1240784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108077,"about_ca_system_score_gemma":0.002490668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01281589,"about_ca_topic_score_gemma":0.02774959,"domain_scores_codex":[0.9989898,0.0001775153,0.0001241218,0.0003826284,0.0001773204,0.0001486588],"domain_scores_gemma":[0.9931747,0.004334261,0.000454842,0.0007870948,0.0008872145,0.0003618097],"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":[0.0003604507,0.0001145054,0.003826554,0.00292129,0.0001390042,0.00007773341,0.00007776685,0.001106877,0.0005742462,0.000872346,0.9856225,0.004306713],"study_design_scores_gemma":[0.005648243,0.0001881609,0.02864309,0.00158694,0.000438457,0.000306641,0.0002382765,0.001951283,0.001943377,0.007045362,0.9518549,0.0001552596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008287444,0.000008501027,0.0000951347,0.0000151784,0.00000433961,0.00001609531,0.9995357,0.00008899128,0.0001532063],"genre_scores_gemma":[0.0009696046,0.0000201771,0.0008165342,0.00009411296,0.000005723319,0.0003301384,0.9968098,0.0001512906,0.0008026294],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4697449,"threshold_uncertainty_score":0.7563446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03397862451657532,"score_gpt":0.2640293219957393,"score_spread":0.2300506974791639,"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."}}