{"id":"W4293221956","doi":"10.3389/fgene.2022.934712","title":"Genotyping-by-sequencing of Canada’s apple biodiversity collection","year":2022,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre; Dalhousie University","funders":"","keywords":"Genotyping; Genomics; Biodiversity; Biology; Genome; Genetics; Genotype; Gene; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002499681,0.001082598,0.001313534,0.002925047,0.002904926,0.001823712,0.001332104,0.001008738,0.006055475],"category_scores_gemma":[0.002557473,0.0005933153,0.001027414,0.00498637,0.0006631602,0.000343167,0.001104834,0.001635007,0.004335749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003564073,"about_ca_system_score_gemma":0.01082818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4630782,"about_ca_topic_score_gemma":0.7599962,"domain_scores_codex":[0.9962482,0.0002166491,0.0002393818,0.001059079,0.001797089,0.0004395114],"domain_scores_gemma":[0.9970093,0.0003191534,0.0002593909,0.0004475264,0.001606535,0.0003581581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001656198,0.0005447163,0.1177719,0.002573415,0.0009652533,0.002718067,0.007074296,0.003442079,0.5326121,0.007728922,0.1668287,0.1560844],"study_design_scores_gemma":[0.0003078078,0.0002190603,0.4598257,0.0004241971,0.0005134881,0.0009254473,0.0008052745,0.003031428,0.03141543,0.0009711506,0.501319,0.0002419709],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2964582,0.003435794,0.05880173,0.0006664247,0.0003642941,0.005548881,0.587673,0.002094833,0.04495686],"genre_scores_gemma":[0.1722201,0.001880986,0.1271288,0.001582523,0.0001176653,0.003325932,0.6613391,0.001705332,0.0306995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5369218,"threshold_uncertainty_score":0.9207656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005584055623994905,"score_gpt":0.1711820543578847,"score_spread":0.1655979987338898,"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."}}