{"id":"W2096860868","doi":"10.1104/pp.106.083527","title":"Consensus by Democracy. Using Meta-Analyses of Microarray and Genomic Data to Model the Cold Acclimation Signaling Pathway in Arabidopsis","year":2006,"lang":"en","type":"review","venue":"PLANT PHYSIOLOGY","topic":"Plant Stress Responses and Tolerance","field":"Agricultural and Biological Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Regulon; Arabidopsis; Biology; Genetics; Microarray analysis techniques; Gene; In silico; DNA microarray; Repressor; Gene regulatory network; Transcription factor; Gene expression; Computational biology; Mutant","routes":{"ca_aff":true,"ca_fund":false,"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":[0.007184963,0.001242205,0.00120974,0.002460293,0.0005269076,0.001695265,0.001493133,0.0009298229,0.002751401],"category_scores_gemma":[0.008184158,0.0009652578,0.003728943,0.002787671,0.0006028426,0.001455085,0.001607105,0.001547143,0.001318527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009114241,"about_ca_system_score_gemma":0.00128462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001789468,"about_ca_topic_score_gemma":0.002927332,"domain_scores_codex":[0.9968441,0.00137628,0.000184911,0.0009748238,0.0005011956,0.0001187637],"domain_scores_gemma":[0.9968444,0.001483392,0.0004912056,0.0007809935,0.000262048,0.0001379137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002566756,0.0003847707,0.09542798,0.005067647,0.01163705,0.00138851,0.001373054,0.370028,0.1168849,0.1204389,0.01898486,0.2558177],"study_design_scores_gemma":[0.0002072584,0.0004659198,0.01378518,0.0002091966,0.001305527,0.0004792646,0.0002978299,0.7615384,0.02289005,0.134487,0.06419789,0.000136471],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0452991,0.001031051,0.9249083,0.000340805,0.0002235975,0.0004367207,0.01542631,0.009547289,0.002786861],"genre_scores_gemma":[0.2663794,0.0007271207,0.7030966,0.0002057593,0.00008504384,0.001599419,0.02487711,0.001457203,0.001572439],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007184963,"threshold_uncertainty_score":0.0379982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2984882346081223,"score_gpt":0.3493399740925007,"score_spread":0.05085173948437843,"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."}}