{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001645709,0.0003118514,0.0003258625,0.00004232601,0.0002063954,0.0001747423,0.0004991859,0.0002394254,0.000148736],"category_scores_gemma":[0.00002490393,0.0001062396,0.00009735296,0.000310934,0.0001026476,0.0001456775,0.000155675,0.0005409525,0.0003095156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004740526,"about_ca_system_score_gemma":0.00006203981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005046389,"about_ca_topic_score_gemma":0.0006058455,"domain_scores_codex":[0.9980438,0.0001009242,0.0001986997,0.0006867585,0.0002626807,0.0007071831],"domain_scores_gemma":[0.9992452,0.0003689886,0.00004411632,0.00009951855,0.00002205536,0.0002200763],"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":[0.0003612713,0.0000306757,0.002792097,0.00001663274,0.00009770971,0.0003596086,0.00003289205,0.000007770101,0.9589728,0.0001817576,0.03335392,0.003792824],"study_design_scores_gemma":[0.001981534,0.01942307,0.2885378,0.001991119,0.0002282054,0.005841806,0.001200518,0.003345245,0.3986364,0.002730621,0.271532,0.004551673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952672,0.0005172769,0.000002962478,0.001251486,0.0002916488,0.0002843109,0.001435015,0.0003482878,0.00060188],"genre_scores_gemma":[0.99512,0.0003600047,0.00009521101,0.0002603896,0.0006228197,0.00002023752,0.003100457,0.000004003924,0.0004168714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5603364,"threshold_uncertainty_score":0.4332327,"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."}}