{"id":"W3028376592","doi":"10.1007/s11033-020-05527-y","title":"SNP marker development in Pinus sylvestris L. in stress-responsive genes characterized from Pinus cembra L. transcriptomes","year":2020,"lang":"en","type":"article","venue":"Molecular Biology Reports","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"National Research, Development and Innovation Office; Hungarian Scientific Research Fund; Nemzeti Agrárkutatási és Innovációs Központ","keywords":"Biology; Scots pine; Genetics; Gene; Single-nucleotide polymorphism; Indel; Transcriptome; Expressed sequence tag; Candidate gene; Genetic variation; Massive parallel sequencing; DNA sequencing; Complementary DNA; Pinus <genus>; Botany; Gene expression; 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":[0.0002508945,0.0002784676,0.0002427973,0.0006137906,0.0001969883,0.0003203936,0.0002074378,0.0002193638,0.0006243652],"category_scores_gemma":[0.0004368248,0.0001983805,0.000269836,0.0004310156,0.0001092479,0.0001252663,0.0002507367,0.0003680565,0.0002848567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002011917,"about_ca_system_score_gemma":0.0002091994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007892193,"about_ca_topic_score_gemma":0.00257865,"domain_scores_codex":[0.9997985,0.00004152699,0.00001637892,0.000082415,0.00004108211,0.00002011006],"domain_scores_gemma":[0.9997917,0.00006225965,0.00007594755,0.00001978603,0.00002398452,0.00002638798],"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":[0.0001609853,0.00002819069,0.007627897,0.00007799959,0.00001670403,0.0001843508,0.0001270568,0.0004299541,0.9827181,0.00009742263,0.00005892796,0.008472438],"study_design_scores_gemma":[0.00006477586,0.0005896231,0.5895942,0.00007042963,0.0002181319,0.001177838,0.000322925,0.006222623,0.3888583,0.0002845638,0.01256145,0.00003518019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869916,0.0005332837,0.009608148,0.00004350441,0.00001600998,0.00007610473,0.001710658,0.0001573979,0.0008632867],"genre_scores_gemma":[0.9672876,0.0004099557,0.02247379,0.00009134489,0.00001264555,0.0001430556,0.008083107,0.00005426777,0.001444122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007892193,"threshold_uncertainty_score":0.002088666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01505856060278336,"score_gpt":0.2459274663804203,"score_spread":0.2308689057776369,"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."}}