{"id":"W2017120073","doi":"10.4141/cjps09022","title":"Genetic analysis and molecular markers associated with multi-gynoecia (<i>Mg</i>) gene in Trigrain whea","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Genetics; Biology; Microsatellite; Gene; Positional cloning; Gene mapping; Candidate gene; Quantitative trait locus; Genetic linkage; Population; Genetic analysis; Genetic marker; Major gene; Chromosome; Allele; Phenotype","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00008037721,0.0002351789,0.000140352,0.0006751913,0.0001456974,0.0001855123,0.0001694507,0.0002092144,0.0006423824],"category_scores_gemma":[0.000137244,0.0001408692,0.0002315649,0.0002887969,0.000166947,0.0000686503,0.0001859954,0.0002236419,0.0001742864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00020486,"about_ca_system_score_gemma":0.0001200353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009604293,"about_ca_topic_score_gemma":0.002324013,"domain_scores_codex":[0.9999224,0.00001028658,0.000008684406,0.0000241492,0.00002347481,0.00001095803],"domain_scores_gemma":[0.9998481,0.00002958387,0.00006423777,0.00001028884,0.000007742065,0.00003996564],"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":[0.00005837823,0.00001654993,0.002118809,0.0000112284,0.000004631596,0.0001301526,0.00003999761,0.0000311171,0.996207,0.00003097377,0.000008470495,0.001342608],"study_design_scores_gemma":[0.00007185774,0.0008095163,0.6889764,0.00002649169,0.0001310788,0.003017204,0.0003008263,0.001467257,0.3012412,0.0001972248,0.003726896,0.00003397415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99892,0.0000794342,0.0005516916,0.00001491028,0.000002703642,0.000008617934,0.0001601458,0.00001629647,0.000246246],"genre_scores_gemma":[0.9953631,0.0001541848,0.002236624,0.00002744633,0.000004764696,0.00001307436,0.001105079,0.00001673474,0.00107893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009604293,"threshold_uncertainty_score":0.002148986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009019902559026962,"score_gpt":0.1867969723730412,"score_spread":0.1777770698140142,"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."}}