{"id":"W2027305723","doi":"10.1007/s11032-015-0224-6","title":"Single-nucleotide polymorphism identification and genotyping in Camelina sativa","year":2015,"lang":"en","type":"article","venue":"Molecular Breeding","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Plant Biotechnology Institute; Saskatchewan Research Council (Canada); Agriculture and Agri-Food Canada","funders":"Saskatchewan Canola Development Commission","keywords":"Biology; Camelina sativa; Genetics; Single-nucleotide polymorphism; SNP genotyping; Molecular Inversion Probe; Genotyping; Oryza sativa; SNP array; SNP; dbSNP; Population; Molecular breeding; Genomics; Computational biology; Genome; Genotype; Gene; Crop; Agronomy","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003953292,0.0002132612,0.0003700278,0.00108091,0.0002818776,0.0002770944,0.0002892783,0.0004232359,0.0009077663],"category_scores_gemma":[0.0005753952,0.0001942739,0.000480191,0.0006237942,0.0001393161,0.0001032422,0.0001932462,0.0002095408,0.0005588346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003700721,"about_ca_system_score_gemma":0.0001241176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002080128,"about_ca_topic_score_gemma":0.004950299,"domain_scores_codex":[0.9995803,0.00004518275,0.00004388861,0.0002062466,0.00009649304,0.00002782508],"domain_scores_gemma":[0.9997553,0.00005008078,0.00007017178,0.00004383442,0.00005017792,0.00003035468],"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":[0.0001992613,0.00002385449,0.00703091,0.00003228571,0.0000231621,0.00008615002,0.00007011057,0.00008317734,0.9869853,0.00005438758,0.0001218892,0.005289509],"study_design_scores_gemma":[0.0001178226,0.0005783518,0.7407417,0.0000320841,0.0001559995,0.000846706,0.0001051884,0.003045026,0.2394394,0.0001629469,0.01472803,0.00004684335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770628,0.0004449622,0.01110402,0.00008380532,0.00002964108,0.0001730086,0.008973438,0.0002393467,0.001888956],"genre_scores_gemma":[0.9281886,0.000412589,0.03899704,0.0004056906,0.00003369472,0.0005594922,0.02589873,0.0001260427,0.005378129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002080128,"threshold_uncertainty_score":0.004136086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02096024009024398,"score_gpt":0.2336800106934367,"score_spread":0.2127197706031928,"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."}}