{"id":"W2165905880","doi":"10.1111/j.1365-3040.2008.01841.x","title":"Next generation of elevated [CO<sub>2</sub>] experiments with crops: a critical investment for feeding the future world","year":2008,"lang":"en","type":"article","venue":"Plant Cell & Environment","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Productivity; Agriculture; Agricultural productivity; Germplasm; Yield (engineering); Natural resource economics; Trait; Investment (military); Biotechnology; Production (economics); Crop productivity; Population; Biology; Environmental science; Agronomy; Agricultural engineering; Ecology; Economics; Computer science; Economic growth; Engineering","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":[0.000146976,0.0002000238,0.0001812757,0.00001821418,0.0003243038,0.00003035321,0.0001924457,0.00006970824,0.00009426269],"category_scores_gemma":[0.00000903753,0.0000708217,0.00006368353,0.000105755,0.000140324,0.00009243243,0.00004018409,0.000112425,0.00002302381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007111361,"about_ca_system_score_gemma":0.00001053689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001679417,"about_ca_topic_score_gemma":0.00004833023,"domain_scores_codex":[0.9986485,0.00008569684,0.0002503977,0.0003248649,0.000357507,0.0003330916],"domain_scores_gemma":[0.9994256,0.0002612117,0.0001062732,0.00009135413,0.00001260299,0.0001029543],"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":[0.0002197245,0.0001891845,0.0004039969,0.00000602958,0.00002160136,0.00001543839,0.0001427446,0.00005791571,0.9961437,0.00008283708,0.001928575,0.0007882452],"study_design_scores_gemma":[0.0002785765,0.0004318516,0.006470196,0.00001617635,0.00003063483,0.00004017249,0.0001898899,0.0005467981,0.9584066,0.00001353527,0.03338228,0.0001932583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978366,0.0005310197,0.0000223512,0.0006757258,0.00006811482,0.0005169069,0.0001884084,0.00002419701,0.0001366915],"genre_scores_gemma":[0.9978792,0.0004445343,0.000279344,0.0004306375,0.0002823148,0.0001434993,0.0004067708,0.000002758741,0.0001309534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03773708,"threshold_uncertainty_score":0.2888025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04128042495224524,"score_gpt":0.2125483850180953,"score_spread":0.17126796006585,"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."}}