{"id":"W1965577308","doi":"10.1007/s11032-011-9670-y","title":"SSR-based population structure, molecular diversity and linkage disequilibrium analysis of a collection of flax (Linum usitatissimum L.) varying for mucilage seed-coat content","year":2011,"lang":"en","type":"article","venue":"Molecular Breeding","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria","keywords":"Germplasm; Linum; Mucilage; Biology; Genetic diversity; Linkage disequilibrium; Population; Association mapping; Genetic variation; Analysis of molecular variance; Microsatellite; Genetics; Genetic structure; Gene pool; Allele; Botany; Evolutionary biology; Gene; Haplotype; Single-nucleotide polymorphism; Genotype","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001431306,0.0001134701,0.00023593,0.00007052963,0.0002050618,0.00001342021,0.00009768219,0.00008430439,0.00002375727],"category_scores_gemma":[0.00006489375,0.00006459752,0.0001595749,0.0005833965,0.00003558041,0.00006097724,0.0001078521,0.0000402804,4.792621e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002151734,"about_ca_system_score_gemma":0.000003840825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006009971,"about_ca_topic_score_gemma":0.00008533649,"domain_scores_codex":[0.9991428,0.00004204025,0.0002422249,0.000237874,0.0001963515,0.0001386597],"domain_scores_gemma":[0.9994431,0.00005397721,0.0002243956,0.00005384663,0.0001726777,0.00005201879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005188207,0.00002637066,0.1703995,0.00002056206,0.0001170049,0.000001102102,0.0002772225,0.0002565283,0.8280827,0.0001681015,0.000001228233,0.0005977645],"study_design_scores_gemma":[0.0002910498,0.0002941426,0.6747175,0.00002252896,0.0004501315,3.504099e-7,0.0001521533,0.01963282,0.3038125,0.0004953754,0.000002033308,0.0001293894],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994287,0.00007282268,0.005156861,0.00002658937,0.00004520532,0.000277253,0.00008285502,0.00001483685,0.00003660415],"genre_scores_gemma":[0.9984214,0.000001966908,0.001344615,0.00003687741,0.00001249032,0.000004596508,0.0001685703,0.000001810234,0.000007673618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5242702,"threshold_uncertainty_score":0.263421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05379554141239934,"score_gpt":0.2215013415609144,"score_spread":0.1677058001485151,"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."}}