{"id":"W4388719531","doi":"10.1093/aob/mcad156","title":"Understanding and Improving Crop Photosynthesis. Volume 130 in Burleigh Dodds Series in Agricultural Science","year":2023,"lang":"en","type":"article","venue":"Annals of Botany","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Agriculture; Photosynthesis; Crop; Volume (thermodynamics); Agronomy; Botany; Ecology","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":[0.0008320889,0.0001250828,0.0002064572,0.00008818767,0.00013847,0.00008642848,0.0002553716,0.00007099953,0.00004253297],"category_scores_gemma":[0.000376935,0.00005310844,0.00003639295,0.001886274,0.0002616104,0.0004642304,0.0001376125,0.000113017,0.00001260489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004058846,"about_ca_system_score_gemma":0.00002060736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005738174,"about_ca_topic_score_gemma":0.002140901,"domain_scores_codex":[0.9986179,0.00006148571,0.0002539415,0.0003102382,0.0002688374,0.000487606],"domain_scores_gemma":[0.999458,0.0002754322,0.00008680112,0.00004893811,0.00004909334,0.00008169313],"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":[0.00006184059,0.00001750645,0.008981279,0.000007427444,0.000002502199,0.00003215399,0.0001034962,0.000007837785,0.9875545,0.0002532177,0.0002005349,0.002777734],"study_design_scores_gemma":[0.00008848829,0.0001425514,0.9352222,0.00008871497,0.000002069768,0.00001418947,0.001739737,0.0003300438,0.06093598,0.0007066544,0.0005412992,0.0001880383],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968185,0.0001443156,2.157753e-7,0.002191205,0.00006670633,0.0001192447,0.0000277748,0.00004837845,0.0005835986],"genre_scores_gemma":[0.9993833,0.0002543938,0.00001237364,0.00005684338,0.00002606378,0.000007099666,0.000003534814,8.113844e-7,0.0002556051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9266185,"threshold_uncertainty_score":0.2165699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09522850850589365,"score_gpt":0.2610752051945597,"score_spread":0.1658466966886661,"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."}}