{"id":"W2118906422","doi":"10.1186/1471-2164-12-342","title":"Identification of lignin genes and regulatory sequences involved in secondary cell wall formation in Acacia auriculiformis and Acacia mangium via de novo transcriptome sequencing","year":2011,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Kebangsaan Malaysia; Ministério da Ciência, Tecnologia e Inovação; Kementerian Sains, Teknologi dan Inovasi; Canada's Michael Smith Genome Sciences Centre","keywords":"Acacia auriculiformis; Acacia mangium; Biology; Contig; Transcriptome; Gene; Monolignol; Secondary cell wall; Botany; cDNA library; Genetics; Acacia; Complementary DNA; Gene expression; Genome","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001946807,0.000484655,0.0005357558,0.0006661513,0.0004314474,0.0004493636,0.0002645429,0.0002952055,0.0006659511],"category_scores_gemma":[0.0002679022,0.0001972236,0.0007536339,0.0006610772,0.0001849728,0.0002553463,0.0002767831,0.0005168314,0.0003812376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003642335,"about_ca_system_score_gemma":0.0003707421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001921657,"about_ca_topic_score_gemma":0.002624375,"domain_scores_codex":[0.9998659,0.000007536381,0.00001093472,0.00006091846,0.00002864417,0.00002600606],"domain_scores_gemma":[0.9997374,0.00005918098,0.00007839876,0.00002487069,0.00005331621,0.00004678735],"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":[0.0001191263,0.00002387808,0.00304963,0.0001372766,0.00001540183,0.000119986,0.0001303253,0.000217544,0.9917904,0.00006762087,0.00006074625,0.004268034],"study_design_scores_gemma":[0.000114802,0.0007190121,0.600632,0.0001367219,0.000604683,0.001679617,0.0009065911,0.01485922,0.3502779,0.0006499488,0.02934362,0.00007583884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822106,0.001442365,0.007510486,0.00008290887,0.00003094337,0.00009634222,0.007047324,0.0001850273,0.001393956],"genre_scores_gemma":[0.9244446,0.00138882,0.03129997,0.0001665912,0.00004784246,0.0002847698,0.03864258,0.0001801347,0.003544643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001921657,"threshold_uncertainty_score":0.003820956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777087137450672,"score_gpt":0.2148358254081076,"score_spread":0.1970649540336009,"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."}}