{"id":"W4322749287","doi":"10.1007/978-3-031-16061-5_13","title":"Flax Genomic Resources and Databases","year":2023,"lang":"en","type":"book-chapter","venue":"Compendium of plant genomes","topic":"Plant Genetic and Mutation Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Quantitative trait locus; Germplasm; Biology; Genomics; Genetics; Genome; Phenotypic trait; Database; Single-nucleotide polymorphism; Pedigree chart; Molecular breeding; Gene; Phenotype; Genotype; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0008239465,0.002822048,0.001694748,0.009549422,0.001453881,0.002699635,0.003278271,0.001256446,0.1839039],"category_scores_gemma":[0.002021058,0.0009790643,0.0009021084,0.01225179,0.0003536032,0.002194781,0.001642148,0.001403436,0.161541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036095,"about_ca_system_score_gemma":0.001442573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007892589,"about_ca_topic_score_gemma":0.01032688,"domain_scores_codex":[0.9995651,0.00004220694,0.00005670505,0.0001601156,0.0001200196,0.00005589016],"domain_scores_gemma":[0.9994493,0.0001762515,0.00006882982,0.0001077731,0.0001166244,0.00008109214],"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":[0.0004413897,0.00004390523,0.0002387046,0.002992108,0.00004513997,0.0001620757,0.000132114,0.000495973,0.01597778,0.004830054,0.885107,0.08953372],"study_design_scores_gemma":[0.00005271024,0.00001707381,0.0007625845,0.0001990917,0.00004557217,0.0001441482,0.00003114151,0.0004043975,0.003573093,0.002795239,0.9919432,0.00003179821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009541833,0.00236352,0.01370924,0.0002626381,0.0001198726,0.0001616592,0.9117081,0.02598524,0.04473562],"genre_scores_gemma":[0.001387596,0.00118872,0.01815488,0.0001700748,0.00002774967,0.0002944972,0.9632109,0.002952148,0.01261338],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1839039,"threshold_uncertainty_score":0.6152197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05527154323173856,"score_gpt":0.221541490725875,"score_spread":0.1662699474941364,"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."}}