{"id":"W1997528316","doi":"10.1016/j.plantsci.2014.05.008","title":"Growth, photosynthetic acclimation and yield quality in legumes under climate change simulations: An updated survey","year":2014,"lang":"en","type":"review","venue":"Plant Science","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Asociación de Amigos de la Universidad de Navarra; Gobierno de Aragón; Ministerio de Ciencia e Innovación; Genome Canada","keywords":"Biology; Photosynthesis; Acclimatization; Yield (engineering); Climate change; Quality (philosophy); Agronomy; Botany; Biotechnology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003471945,0.0003237283,0.0008001422,0.0001410237,0.0003329142,0.0002781912,0.0007023335,0.0002339359,0.00008682377],"category_scores_gemma":[0.0006244727,0.0001322406,0.00006046774,0.001447671,0.0002512575,0.0006219922,0.0001843122,0.0002561641,0.00003713093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000728433,"about_ca_system_score_gemma":0.00004891062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002143283,"about_ca_topic_score_gemma":0.01155493,"domain_scores_codex":[0.9967589,0.0008407664,0.0005888653,0.000784426,0.0004520244,0.0005750225],"domain_scores_gemma":[0.9969836,0.002252865,0.0003691477,0.0001434928,0.00008233986,0.0001684868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001041737,0.0002892543,0.008838279,0.001493669,0.00002117301,0.00001927096,0.0001650757,0.000007824436,0.00689591,0.001922473,0.00004384536,0.980199],"study_design_scores_gemma":[0.000479947,0.0006802101,0.7801661,0.01388749,0.0002973501,0.0004017101,0.0001860713,0.005763288,0.0003235323,0.001005973,0.1923411,0.004467181],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6139095,0.3761295,0.000002635955,0.000163811,0.0003054319,0.001847061,0.007244144,0.0001991081,0.0001987634],"genre_scores_gemma":[0.2273,0.7699824,0.00001330238,0.0001057155,0.00005717983,0.00003798426,0.002493231,0.000002123725,0.000008032051],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9757318,"threshold_uncertainty_score":0.6447922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1712170688179096,"score_gpt":0.3472104611360453,"score_spread":0.1759933923181357,"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."}}