{"id":"W4392687822","doi":"10.1139/cjps-2023-0187","title":"Identification of Canadian barley varieties by high-throughput SNP genotyping","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"SNP genotyping; Genotyping; TaqMan; Biology; Identification (biology); Crop; Agronomy; Throughput; Biotechnology; Genotype; Polymerase chain reaction; Genetics; Botany; Computer science; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006379152,0.0006523923,0.0006091151,0.002149829,0.002529548,0.001234223,0.0009796998,0.0006061578,0.003971332],"category_scores_gemma":[0.00100485,0.0003712695,0.0006490886,0.003477502,0.0004844195,0.000207085,0.0007297808,0.0006625658,0.001308424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007625575,"about_ca_system_score_gemma":0.006610328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8345215,"about_ca_topic_score_gemma":0.9535191,"domain_scores_codex":[0.9983497,0.00005795326,0.00005609812,0.000480649,0.0007709311,0.0002847474],"domain_scores_gemma":[0.9989035,0.00007244183,0.0001098154,0.00008228972,0.0006891775,0.0001427308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001013285,0.000135349,0.1273679,0.0003279908,0.0002658601,0.0008862431,0.002013062,0.001098398,0.7301881,0.001639621,0.01198732,0.1230769],"study_design_scores_gemma":[0.00006767506,0.0001533354,0.8140953,0.00006867095,0.0002493829,0.000892567,0.00121772,0.002015739,0.09452707,0.0002995103,0.08624618,0.0001667823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8956774,0.001498187,0.0323537,0.0004842826,0.0001178235,0.000754019,0.04645923,0.001050771,0.02160456],"genre_scores_gemma":[0.8203747,0.001708069,0.09684052,0.0005850079,0.00002349619,0.0006564871,0.04754357,0.0005825093,0.03168556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1654785,"threshold_uncertainty_score":0.3329059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01882116411589746,"score_gpt":0.2048870426048149,"score_spread":0.1860658784889174,"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."}}