{"id":"W4306878706","doi":"10.3389/fgene.2022.1015673","title":"Computational genomics insights into cold acclimation in wheat","year":2022,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Plant Stress Responses and Tolerance","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Research Council (Canada); Brock University; National Research Council Canada","funders":"National Research Council Canada","keywords":"Vernalization; Transcriptome; Biology; Hardiness (plants); Gene; Metabolomics; Genetics; Acclimatization; Gene expression; Botany; Bioinformatics; Cultivar","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":[0.000420102,0.0005255816,0.0006124913,0.001143083,0.0004065553,0.001003278,0.0005005408,0.0004417978,0.0009536099],"category_scores_gemma":[0.001206933,0.0003115486,0.001386571,0.0008026949,0.0002730429,0.0005656783,0.0006246733,0.0004489252,0.000123582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005556758,"about_ca_system_score_gemma":0.0008059553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008296469,"about_ca_topic_score_gemma":0.009571701,"domain_scores_codex":[0.9998484,0.00004875242,0.000008914457,0.00004712313,0.00002611944,0.00002074178],"domain_scores_gemma":[0.999742,0.0001687343,0.00002377203,0.00002447805,0.00002594737,0.00001513108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002681661,0.0001722703,0.01861614,0.0003017705,0.0005255779,0.0002431785,0.0002072553,0.9137105,0.01432321,0.009213369,0.001226326,0.04119223],"study_design_scores_gemma":[0.000007321541,0.00002136668,0.003463294,0.00000590172,0.00002713347,0.00001989404,0.00004050864,0.9896883,0.0004434495,0.005806431,0.0004707198,0.000005703725],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6356849,0.00151844,0.3519473,0.00129793,0.00006299287,0.00009181943,0.004097867,0.001732019,0.003566801],"genre_scores_gemma":[0.8821539,0.0007391915,0.1105289,0.0002163757,0.0000349912,0.0001485079,0.005242868,0.0001094953,0.000825683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008296469,"threshold_uncertainty_score":0.01649636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009872213071662991,"score_gpt":0.1989192221220581,"score_spread":0.1890470090503951,"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."}}