{"id":"W3167051021","doi":"10.1007/978-3-030-64926-5_1","title":"Chapter 1 Leaf Carbon Flux Responses to Climate Change: Challenges and Opportunities","year":2021,"lang":"en","type":"book-chapter","venue":"Advances in photosynthesis and respiration","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Climate change; Environmental science; Vegetation (pathology); Photosynthesis; Atmosphere (unit); Ecology; Environmental resource management; Climatology; Atmospheric sciences; Geography; Biology; Meteorology; Botany","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":[0.0003983115,0.0003575907,0.0004557518,0.0001082737,0.0001325896,0.00007094096,0.0001275134,0.0002934469,0.0001580696],"category_scores_gemma":[0.00009307816,0.000179293,0.00005585582,0.00003415208,0.000104284,0.0002482763,0.000143794,0.0001875928,0.000004951719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002753044,"about_ca_system_score_gemma":0.000009380669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003047256,"about_ca_topic_score_gemma":0.002128249,"domain_scores_codex":[0.9983475,0.0001060582,0.0003576277,0.0006365181,0.0002519416,0.0003004202],"domain_scores_gemma":[0.998924,0.0005958584,0.000174631,0.00011372,0.00006485175,0.0001269267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004126871,0.00001368764,0.00003577406,0.00006107926,0.00001232226,0.00009567555,0.0001588338,3.23381e-7,0.02455171,0.02198291,0.000003081485,0.9526719],"study_design_scores_gemma":[0.0001287272,0.0005423102,0.003566838,0.001203131,0.00004179317,0.00005394404,0.0002743596,0.00002246287,0.005808402,0.001785712,0.9858673,0.0007050108],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5782977,0.2210061,1.993384e-7,0.005094593,0.0002522604,0.001070394,0.0003959789,0.0001156267,0.1937671],"genre_scores_gemma":[0.2327999,0.7387731,0.00004577306,0.001115434,0.0004605085,0.0001725713,0.0001017236,0.00001275226,0.02651819],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9858642,"threshold_uncertainty_score":0.7311356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07949217452440796,"score_gpt":0.2541850286952574,"score_spread":0.1746928541708495,"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."}}