{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000689238,0.0001047608,0.0001669381,0.00002353609,0.0001112207,0.00005668459,0.00006497208,0.00008747938,0.0000212605],"category_scores_gemma":[0.00001472037,0.00004798339,0.00003425985,0.0001586219,0.00008152521,0.00005670277,0.00004244798,0.00004222904,6.769203e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007558357,"about_ca_system_score_gemma":0.00001074131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004345664,"about_ca_topic_score_gemma":0.0003260254,"domain_scores_codex":[0.9993051,0.00008987246,0.0001192937,0.0002566743,0.00005806091,0.0001709427],"domain_scores_gemma":[0.9997629,0.00004587649,0.00004688829,0.00004004259,0.00002049038,0.00008380645],"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":[0.00002769095,0.000007061118,0.008096504,0.000002700855,0.00005894959,0.0000150081,0.00002651877,0.00004862134,0.9854843,0.001051944,0.00003093017,0.005149744],"study_design_scores_gemma":[0.0006665332,0.0005696376,0.04694639,0.00004782612,0.0009157467,0.0001428629,0.0002528942,0.04084957,0.8511098,0.005447137,0.05167777,0.001373851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948341,0.002404477,0.001185842,0.0004368295,0.00001163112,0.00007590725,0.000992449,0.00002123884,0.00003747892],"genre_scores_gemma":[0.9956301,0.0007126513,0.002433268,0.0003522413,0.00005837833,0.000003900148,0.0008007311,6.800985e-7,0.000008070278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1343745,"threshold_uncertainty_score":0.1956706,"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."}}