{"id":"W4393415923","doi":"10.5281/zenodo.4716568","title":"Comparison of tree-ring and eddy-covariance derived annual ecosystem production estimates for jack pine and trembling aspen forests in Saskatchewan, Canada.","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Eddy covariance; Dendrochronology; Forestry; Environmental science; Covariance; Jack pine; Ecosystem; Production (economics); Geography; Pinus <genus>; Hydrology (agriculture); Ecology; Mathematics; Archaeology; Geology; Biology; Statistics; Economics; Botany","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009288308,0.001363258,0.0009657835,0.004083483,0.001131703,0.001417277,0.003080885,0.0009355614,0.01911629],"category_scores_gemma":[0.003873808,0.000573893,0.0008594299,0.01269111,0.00036215,0.0007024605,0.001350655,0.001056823,0.01256331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0160983,"about_ca_system_score_gemma":0.02128256,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9641044,"about_ca_topic_score_gemma":0.9786113,"domain_scores_codex":[0.9991782,0.00004464051,0.00008234015,0.0001592694,0.000326303,0.0002093216],"domain_scores_gemma":[0.9946442,0.0004762597,0.0002879135,0.0004695186,0.003688757,0.0004333835],"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":[0.0002097339,0.00006671595,0.025581,0.0009107426,0.0002081364,0.00008326073,0.0001158212,0.00268757,0.0002933353,0.0006606581,0.9606861,0.008496948],"study_design_scores_gemma":[0.0006574013,0.00003080997,0.3243825,0.001096541,0.0001624492,0.000117339,0.001169114,0.004658789,0.001658795,0.0008896337,0.6649975,0.0001791166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009167919,0.00002495734,0.00001963155,0.0000249429,0.00000505687,0.00000556856,0.9985966,0.00006124011,0.0003452324],"genre_scores_gemma":[0.002623903,0.00004088424,0.0001257211,0.00001386234,0.000001268827,0.00002192616,0.9966487,0.00002027945,0.0005034101],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03589559,"threshold_uncertainty_score":0.1168019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114360045272794,"score_gpt":0.2497075829387008,"score_spread":0.2285639824859729,"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."}}