{"id":"W2043844046","doi":"10.1104/pp.105.059972","title":"Abiotic Stress and Plant Genome Evolution. Search for New Models","year":2005,"lang":"en","type":"article","venue":"PLANT PHYSIOLOGY","topic":"Plant Stress Responses and Tolerance","field":"Agricultural and Biological Sciences","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; University of California, Riverside","keywords":"Extremophile; Abiotic stress; Biology; Plant evolution; Abiotic component; Diversity (politics); Genome; Evolutionary biology; Ecology; Genetics; Gene; Sociology; Bacteria; Microorganism","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004847923,0.000118652,0.000186379,0.00001189909,0.0001515215,0.00001958762,0.000153479,0.00008393406,0.00005486201],"category_scores_gemma":[0.000005828181,0.00004791728,0.00004383603,0.00005514083,0.00004658188,0.00008737585,0.00005004418,0.00007718399,0.00001530432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001588656,"about_ca_system_score_gemma":0.00001308478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002766231,"about_ca_topic_score_gemma":0.0004323582,"domain_scores_codex":[0.9991355,0.00003777407,0.0001299808,0.0002849055,0.00007430648,0.0003375621],"domain_scores_gemma":[0.9994894,0.0002998007,0.00003679571,0.00004158038,0.00001803716,0.0001143747],"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":[0.0008085727,0.0001007579,0.0004386538,0.00003276841,0.00003454668,0.000004522508,0.0001296086,0.003095883,0.9783757,0.005282144,0.000803113,0.01089368],"study_design_scores_gemma":[0.001573054,0.001151942,0.7907567,0.0001270261,0.00004758456,0.000194697,0.000237626,0.1052077,0.01291549,0.008723074,0.07800769,0.001057385],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942659,0.0008563442,0.00006151673,0.001069189,0.00004633903,0.00019785,0.003380319,0.00003595246,0.00008654789],"genre_scores_gemma":[0.997914,0.0003289762,0.0001390179,0.0001623178,0.0005143331,0.00001052019,0.0006723656,8.621049e-7,0.0002576005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9654602,"threshold_uncertainty_score":0.195401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03265286821791616,"score_gpt":0.2242524151316517,"score_spread":0.1915995469137355,"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."}}