{"id":"W2908690176","doi":"10.3390/mps3020028","title":"Mapping Quantitative Trait Loci onto Chromosome-Scale Pseudomolecules in Flax","year":2020,"lang":"en","type":"article","venue":"Methods and Protocols","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Quantitative trait locus; Family-based QTL mapping; Biology; Genetics; Candidate gene; Single-nucleotide polymorphism; Chromosome; Inclusive composite interval mapping; Microsatellite; Genome Scan; Genome; Genetic marker; Gene mapping; Gene; Allele; Genotype","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":[0.0005212377,0.0004427799,0.000424496,0.001418709,0.000496018,0.0004155239,0.0004634629,0.0004684526,0.003030038],"category_scores_gemma":[0.0009568452,0.0003793466,0.0007172201,0.001096254,0.0002907462,0.0004255346,0.0006583112,0.0006405193,0.001208631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004973905,"about_ca_system_score_gemma":0.0003587318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001660987,"about_ca_topic_score_gemma":0.004002863,"domain_scores_codex":[0.9996871,0.00004213339,0.00002589569,0.0001286651,0.00008324903,0.00003293098],"domain_scores_gemma":[0.9995056,0.0001925203,0.0001428149,0.00006880574,0.00003998329,0.00005015908],"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":[0.0003212026,0.00005367599,0.001908034,0.0002122143,0.00003005273,0.0001968925,0.00022731,0.0005554061,0.9765078,0.0005863529,0.0002147787,0.01918627],"study_design_scores_gemma":[0.0002790304,0.0007343463,0.2590297,0.0001445441,0.0002276438,0.00178317,0.0004296862,0.01431155,0.6691266,0.002413611,0.05134139,0.0001788064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7610179,0.001729352,0.2196862,0.0002587118,0.0001103029,0.0009267564,0.01097015,0.002327035,0.002973533],"genre_scores_gemma":[0.5815575,0.001425604,0.374786,0.0002797964,0.00003675091,0.001056511,0.03423607,0.000904771,0.00571696],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003030038,"threshold_uncertainty_score":0.01013649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08443694286608752,"score_gpt":0.3663422542709562,"score_spread":0.2819053114048687,"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."}}