{"id":"W2066229598","doi":"10.1007/s11103-005-0185-y","title":"Potato Expressed Sequence Tag Generation and Analysis using Standard and Unique cDNA Libraries","year":2005,"lang":"en","type":"article","venue":"Plant Molecular Biology","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nova Scotia Department of Agriculture; Queen's University; Agriculture and Agri-Food Canada; Genome Canada; University of New Brunswick","funders":"Genome Atlantic; Atlantic Canada Opportunities Agency; Genome Canada","keywords":"Biology; Solanum tuberosum; cDNA library; Expressed sequence tag; Genome; Complementary DNA; Genetics; Gene; Genomics; Functional genomics; Whole genome sequencing; Sequence analysis; DNA sequencing; Sequence (biology); Genomic library; Computational biology; Botany; Peptide sequence","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":[0.0005357522,0.001039864,0.001044393,0.00133862,0.0006870009,0.0009986707,0.0007186507,0.0005935648,0.001708002],"category_scores_gemma":[0.0006265951,0.0007734357,0.001249694,0.002055642,0.0004342646,0.0005500587,0.0006876568,0.002366664,0.001850828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008237091,"about_ca_system_score_gemma":0.0006946831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001455897,"about_ca_topic_score_gemma":0.001968323,"domain_scores_codex":[0.9994579,0.0000472559,0.00009600669,0.0001626191,0.0001266706,0.0001095289],"domain_scores_gemma":[0.9993533,0.0001425161,0.00009100732,0.000112333,0.0001946664,0.0001061696],"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":[0.0002128788,0.00004870713,0.0001913055,0.00009297051,0.00002234895,0.00009108746,0.00005334526,0.0001469363,0.9956291,0.0003517936,0.0001630387,0.002996514],"study_design_scores_gemma":[0.00005151485,0.0001597993,0.00299361,0.00001488433,0.0001168234,0.000394288,0.00006465583,0.001848859,0.9832304,0.0003162156,0.01078041,0.00002844521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5818815,0.002169305,0.3749041,0.0006656403,0.000430021,0.001678801,0.02845915,0.003110407,0.006701192],"genre_scores_gemma":[0.5022261,0.005366777,0.3053382,0.0005755076,0.0001686353,0.002559133,0.1547474,0.00258184,0.02643658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001708002,"threshold_uncertainty_score":0.005976439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02480661750721799,"score_gpt":0.2439537281458446,"score_spread":0.2191471106386266,"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."}}