{"id":"W2116911053","doi":"10.1186/1471-2164-14-702","title":"Generation, functional annotation and comparative analysis of black spruce (Picea mariana) ESTs: an important conifer genomic resource","year":2013,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Biology; Expressed sequence tag; Genetics; Genomics; Black spruce; DNA sequencing; Genome; GenBank; Gene; Sequence assembly; cDNA library; Genome project; Reference genome; Functional genomics; Transcriptome; Computational biology; Complementary DNA; Taiga; Ecology; Gene expression","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":[0.0004401277,0.0006945884,0.0003561423,0.0007805415,0.0004724692,0.0004315982,0.0003015403,0.0002217735,0.000735007],"category_scores_gemma":[0.000442122,0.0001742671,0.0005776334,0.0008685398,0.0002496135,0.0002767752,0.0003950259,0.0004445259,0.0005698715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002688335,"about_ca_system_score_gemma":0.0003986307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001129214,"about_ca_topic_score_gemma":0.001776494,"domain_scores_codex":[0.9998013,0.00002678265,0.00002344215,0.00006870176,0.00004049038,0.00003919454],"domain_scores_gemma":[0.9996738,0.00009510339,0.00005483368,0.00003904688,0.00008046189,0.00005670533],"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":[0.0002901292,0.00006171935,0.002775428,0.0001855888,0.00001690594,0.0002389115,0.0001421307,0.0003063445,0.9874331,0.0001374059,0.0001867119,0.008225442],"study_design_scores_gemma":[0.0000769569,0.0007699365,0.1481845,0.00009688525,0.0002784422,0.002222761,0.0005025687,0.00947788,0.8201182,0.0004928373,0.01773204,0.00004694019],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959661,0.00118895,0.0248567,0.0001177495,0.00003327743,0.0001840089,0.01225374,0.0003987794,0.001305838],"genre_scores_gemma":[0.8008403,0.001940774,0.09331776,0.0001462478,0.00005893474,0.0003908977,0.09807557,0.0003364348,0.004892985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001129214,"threshold_uncertainty_score":0.00245887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04068967147124026,"score_gpt":0.253066552397111,"score_spread":0.2123768809258707,"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."}}