{"id":"W4412121035","doi":"10.1111/jac.70099","title":"Unravelling Compositional Changes in Field Pea Leaf Cuticles Under Heat Stress Using Synchrotron‐Based Fourier Transform Mid‐Infrared Spectroscopy","year":2025,"lang":"en","type":"article","venue":"Journal of Agronomy and Crop Science","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"Western Economic Diversification Canada; Canadian Institutes of Health Research; National Research Council Canada; Canada Foundation for Innovation; Saskatchewan Pulse Growers; Natural Sciences and Engineering Research Council of Canada; Ministry of Agriculture - Saskatchewan; University of Saskatchewan; Canadian Light Source","keywords":"Synchrotron; Fourier transform infrared spectroscopy; Infrared; Fourier transform; Fourier transform spectroscopy; Field (mathematics); Spectroscopy; Botany; Heat stress; Materials science; Chemistry; Agronomy; Analytical Chemistry (journal); Biology; Optics; Physics; Mathematics; Atmospheric sciences; Environmental chemistry; Astronomy","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":[0.0001200399,0.0002172298,0.0001472282,0.0002960124,0.0001513295,0.0001620419,0.000084461,0.0002286488,0.0004924865],"category_scores_gemma":[0.00008803606,0.0001238304,0.0001628517,0.0001856936,0.0001414689,0.0002133273,0.0001084482,0.0002820217,0.00007533925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009062982,"about_ca_system_score_gemma":0.00007230066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005539675,"about_ca_topic_score_gemma":0.000628918,"domain_scores_codex":[0.9999583,0.000006872207,0.000002313274,0.00001069137,0.00001357914,0.000008319718],"domain_scores_gemma":[0.9999057,0.00001775019,0.00002980298,0.000007852447,0.00002380703,0.0000150253],"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":[0.00001921774,0.000003947441,0.0004652305,0.00001276309,0.000002927801,0.00001056937,0.00001121543,0.000008132713,0.9991154,0.000003607927,0.000003423087,0.0003435663],"study_design_scores_gemma":[0.00001208726,0.0003270046,0.3705215,0.00001066505,0.00004151641,0.0003271325,0.0002656362,0.001153288,0.6263915,0.00009897997,0.0008366155,0.00001396446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976293,0.0006369064,0.001368739,0.00001428969,0.000003641871,0.000006626616,0.0001319859,0.00001619929,0.0001921782],"genre_scores_gemma":[0.9977074,0.0003189577,0.00125116,0.0000268049,0.0000037048,0.00001252892,0.0002317782,0.000006231247,0.0004414846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005539675,"threshold_uncertainty_score":0.001647532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125849553693468,"score_gpt":0.2724493572374044,"score_spread":0.2611908617004697,"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."}}