{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005592683,0.0003215487,0.0002773998,0.001880086,0.000646474,0.0003687195,0.0003383627,0.0003714697,0.0007179046],"category_scores_gemma":[0.000658736,0.0001805751,0.0003988525,0.00113278,0.000291184,0.0001799523,0.0003889719,0.0005323409,0.0002566259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005359912,"about_ca_system_score_gemma":0.0003021957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003841588,"about_ca_topic_score_gemma":0.008925238,"domain_scores_codex":[0.9996001,0.00007859812,0.000033749,0.0001848387,0.00006308631,0.00003974019],"domain_scores_gemma":[0.9995621,0.0001081096,0.0001103592,0.00004690932,0.00008120833,0.0000912578],"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":[0.001464288,0.0005609641,0.1284894,0.0001245316,0.0006326378,0.0003720835,0.002203329,0.001086222,0.8388427,0.0006090102,0.0003626488,0.02525222],"study_design_scores_gemma":[0.0001843582,0.0005973365,0.9780543,0.00002731533,0.0003443906,0.0009937496,0.0004030263,0.003614872,0.01288057,0.0002575832,0.002591365,0.00005102426],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982216,0.00005807451,0.0008697932,0.00001830137,0.000003258016,0.00002138717,0.0005008773,0.00001513322,0.0002915836],"genre_scores_gemma":[0.9920867,0.0000634174,0.003617847,0.00003714046,0.000006912224,0.00005115451,0.003584534,0.00001917402,0.0005331688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003841588,"threshold_uncertainty_score":0.007638454,"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."}}