{"id":"W2518443575","doi":"10.1016/j.jplph.2016.08.009","title":"From biochemical pathways to the agro-ecological scale: Carbon capture in a changing climate","year":2016,"lang":"en","type":"editorial","venue":"Journal of Plant Physiology","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ecology; Scale (ratio); Climate change; Carbon fibers; Environmental science; Biology; Geography; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005855615,0.005165638,0.004428206,0.002469406,0.00278707,0.008467766,0.004662371,0.01884539,0.008112011],"category_scores_gemma":[0.01379072,0.001471824,0.002757132,0.001597283,0.004049312,0.006531485,0.002532782,0.03069984,0.005241407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00286782,"about_ca_system_score_gemma":0.002562132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0015554,"about_ca_topic_score_gemma":0.004568047,"domain_scores_codex":[0.9972174,0.0004089823,0.0003853386,0.0005555667,0.001187708,0.0002450443],"domain_scores_gemma":[0.9864855,0.007161242,0.0007630994,0.0003724326,0.003106456,0.002111205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006713223,0.00002623303,0.00004780391,0.0004940941,0.0000447363,0.0002378658,0.00003225577,0.00008075521,0.0002443594,0.0009092008,0.9878704,0.009945183],"study_design_scores_gemma":[0.00007055954,0.00005452814,0.0006232921,0.0005992607,0.0001057084,0.0005453974,0.0001078707,0.0003888084,0.0003163104,0.004198432,0.9929467,0.00004320085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005534438,0.01065598,0.00016077,0.03095755,0.9574736,0.000006905118,0.00003106404,0.0000289395,0.0006297933],"genre_scores_gemma":[0.0005272395,0.006884236,0.00009950524,0.007800553,0.9813499,0.000008744639,0.00001260738,0.00001712592,0.003300078],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01884539,"threshold_uncertainty_score":0.03096783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004187437458116734,"score_gpt":0.2072156456576054,"score_spread":0.2030282081994886,"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."}}