{"id":"W2767974965","doi":"10.5194/bg-14-4851-2017","title":"Ecophysiological modeling of photosynthesis and carbon allocation to the tree stem in the boreal forest","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université du Québec à Montréal","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; European Commission; Université Laval","keywords":"Black spruce; Taiga; Environmental science; Boreal; Canopy; Atmospheric sciences; Primary production; Climatology; Climate change; Ecology; Global warming; Carbon sink; Ecosystem; Biology; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002778428,0.0004479231,0.0002954843,0.0002091109,0.0004448107,0.0004371672,0.0007360448,0.0004712202,0.0006595417],"category_scores_gemma":[0.0004051769,0.0002077391,0.000559166,0.0002152825,0.0003375248,0.0003404068,0.0002739501,0.0002924231,0.00005520218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001398448,"about_ca_system_score_gemma":0.000974976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1479183,"about_ca_topic_score_gemma":0.1333554,"domain_scores_codex":[0.9999272,0.00001773987,0.000003156127,0.00002149649,0.00001318386,0.00001732395],"domain_scores_gemma":[0.9998689,0.00004915604,0.00001922942,0.00001010173,0.00002986707,0.00002271629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005858507,0.00003083982,0.007673986,0.00001757142,0.00002780137,0.00004707662,0.000030213,0.9851894,0.003774431,0.0008606111,0.0001114536,0.002178015],"study_design_scores_gemma":[0.00001029434,0.0000202535,0.004862248,0.000001427101,0.000006730264,0.00001041966,0.00001044675,0.9944284,0.0002631782,0.0002127764,0.0001699,0.000003891911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98009,0.000235291,0.01595237,0.00009589267,0.00001511143,0.00001483617,0.0002419441,0.0001308075,0.003223877],"genre_scores_gemma":[0.9963761,0.00006722639,0.002732581,0.000014957,0.000004068279,0.00001301029,0.00007551167,0.0000112059,0.0007052684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1479183,"threshold_uncertainty_score":0.2941147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02269540260608635,"score_gpt":0.2224613431662066,"score_spread":0.1997659405601202,"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."}}