{"id":"W4391619364","doi":"10.1111/ppl.14188","title":"Temperature‐smart plants: A new horizon with omics‐driven plant breeding","year":2024,"lang":"en","type":"article","venue":"Physiologia Plantarum","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Murdoch University","keywords":"Phenomics; Omics; Genomics; Metabolomics; Biology; Biotechnology; Molecular breeding; Epigenomics; Computational biology; Data science; Computer science; Bioinformatics; Genome; Genetics","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":[0.0045865,0.000923083,0.001492882,0.0009005411,0.0004382592,0.003218489,0.001140296,0.001848198,0.005788915],"category_scores_gemma":[0.00201707,0.000393266,0.001250054,0.001005039,0.001220197,0.004238924,0.002209292,0.004836394,0.001584621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138672,"about_ca_system_score_gemma":0.001739127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006327686,"about_ca_topic_score_gemma":0.0009962569,"domain_scores_codex":[0.9992062,0.00024748,0.00004809777,0.0001667071,0.0002298254,0.0001016867],"domain_scores_gemma":[0.998276,0.0006114309,0.0001857621,0.0002313646,0.0003872482,0.0003082105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008543503,0.0002655798,0.004619184,0.003897823,0.0006699326,0.0006355126,0.0004716072,0.009375537,0.4104474,0.0858628,0.03624002,0.4466602],"study_design_scores_gemma":[0.0001853872,0.0009494365,0.01031881,0.001684812,0.0004494017,0.000824376,0.0008130919,0.01828914,0.05902243,0.1400901,0.767152,0.0002209091],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08100715,0.2703315,0.5057115,0.08849957,0.006147471,0.0004675155,0.006587347,0.006043881,0.03520412],"genre_scores_gemma":[0.2668695,0.2198011,0.4619719,0.02503741,0.003066129,0.0005161555,0.007045489,0.001663347,0.01402881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005788915,"threshold_uncertainty_score":0.02425605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871459509341695,"score_gpt":0.222595259372098,"score_spread":0.203880664278681,"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."}}