{"id":"W2014660551","doi":"10.1016/j.agrformet.2013.02.004","title":"Gross and aboveground net primary production at Canadian forest carbon flux sites","year":2013,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; University of British Columbia; Queen's University; Center for Northern Studies; McMaster University; University of Manitoba; University of Saskatchewan; University of Victoria; University of New Brunswick; Canadian Forest Service; Université Laval; Natural Resources Canada","funders":"BIOCAP Canada","keywords":"Primary production; Photosynthetically active radiation; Environmental science; Eddy covariance; Taiga; Atmospheric sciences; Temperate rainforest; Boreal; Temperate forest; Temperate climate; Carbon cycle; Ecosystem; Ecology; Forestry; Photosynthesis; Geography; Biology; Botany; 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":[0.0003111167,0.0003016899,0.0002577682,0.001534931,0.001925134,0.0009432588,0.0006110357,0.0003592811,0.002399419],"category_scores_gemma":[0.0008638054,0.0002407927,0.0002848376,0.002284495,0.0005009156,0.0004311483,0.0003930317,0.0002460805,0.0002971882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01745762,"about_ca_system_score_gemma":0.008127353,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924768,"about_ca_topic_score_gemma":0.9986839,"domain_scores_codex":[0.9996777,0.00001634168,0.000008479489,0.00005977778,0.0001229739,0.0001147846],"domain_scores_gemma":[0.9992016,0.00005147717,0.00005652254,0.00002578506,0.0004885388,0.0001760364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002878555,0.000055304,0.9704778,0.00005421457,0.00009687908,0.0002331085,0.001105624,0.004384775,0.003864386,0.000781124,0.005131339,0.01352762],"study_design_scores_gemma":[0.000004518169,0.00000332562,0.9976909,0.000003618346,0.00000770606,0.00001825724,0.0002354918,0.0006752088,0.0001735784,0.00002994148,0.001151148,0.00000632296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883366,0.0001550487,0.0001072356,0.00007133359,0.000006582895,0.00001042418,0.00816946,0.00002686109,0.003116439],"genre_scores_gemma":[0.9909922,0.0001293296,0.0003110342,0.00001851497,0.000003141527,0.000008168498,0.006088669,0.00001278226,0.002436114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01745762,"threshold_uncertainty_score":0.1266645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004279157504551285,"score_gpt":0.1547424007233951,"score_spread":0.1504632432188438,"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."}}