{"id":"W1964044431","doi":"10.1186/1471-2164-9-434","title":"Differential SAGE analysis in Arabidopsis uncovers increased transcriptome complexity in response to low temperature","year":2008,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Plant Stress Responses and Tolerance","field":"Agricultural and Biological Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Genome Prairie","keywords":"Biology; Transcriptome; Arabidopsis; SAGE; DNA microarray; Computational biology; Proteomics; Differential (mechanical device); Serial analysis of gene expression; Genetics; Gene; 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":[0.0001230065,0.0002501782,0.0002331783,0.0004123109,0.0001712827,0.0002792426,0.000112742,0.0001614265,0.0004357219],"category_scores_gemma":[0.000166452,0.0001242135,0.0003054363,0.0003701441,0.0002209236,0.0001388587,0.0001790283,0.0002915523,0.0001780398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000260085,"about_ca_system_score_gemma":0.0001279314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007407128,"about_ca_topic_score_gemma":0.001570315,"domain_scores_codex":[0.9998975,0.000006379292,0.000005352746,0.00003945582,0.00002667444,0.00002465468],"domain_scores_gemma":[0.9998474,0.00003778099,0.00004028149,0.00001730918,0.00002977928,0.00002740347],"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":[0.000058935,0.00000496499,0.001368966,0.000022925,0.0000056385,0.00003695557,0.00002799691,0.00005783468,0.9971634,0.00002669986,0.00002552011,0.001200187],"study_design_scores_gemma":[0.00002666024,0.0004184282,0.3825661,0.00002377286,0.0001109722,0.0008301885,0.0002182422,0.003833272,0.6083787,0.0005048836,0.003058223,0.00003051305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925908,0.0004317563,0.004746168,0.00003787096,0.00001151073,0.00001693038,0.001610106,0.0001431434,0.000411792],"genre_scores_gemma":[0.986935,0.0004490647,0.00724693,0.00007900374,0.00001334324,0.0000545577,0.00412583,0.0000667232,0.00102954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007407128,"threshold_uncertainty_score":0.001887083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03011408668178047,"score_gpt":0.2257745723248313,"score_spread":0.1956604856430508,"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."}}