{"id":"W3169089535","doi":"10.21203/rs.3.rs-544120/v1","title":"Field-based tree mortality observations constrain model-projected forest carbon sinks across continents","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Agence Nationale de la Recherche","keywords":"Carbon sink; Field (mathematics); Environmental science; Carbon flux; Carbon sequestration; Tree (set theory); Geography; Physical geography; Geology; Earth science; Agroforestry; Forestry; Ecology; Climate change; Oceanography; Ecosystem; Biology; Carbon dioxide; Mathematics","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":[0.0006011935,0.0002861944,0.0002463902,0.0003152944,0.0002338282,0.0006860583,0.0003960567,0.0005503942,0.001913638],"category_scores_gemma":[0.002095507,0.0002835101,0.000323471,0.0004302736,0.0003111612,0.0009185234,0.0002502049,0.0002900386,0.0003005135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004113584,"about_ca_system_score_gemma":0.0003690865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02689838,"about_ca_topic_score_gemma":0.01674056,"domain_scores_codex":[0.9998932,0.00003703162,0.000004707185,0.00004072639,0.000006537236,0.00001786935],"domain_scores_gemma":[0.9992633,0.0003622472,0.00008362479,0.0001412813,0.0001073781,0.00004219831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003953713,0.0001475202,0.5307651,0.0001247517,0.0003410934,0.0001026963,0.0002459059,0.4258842,0.01284679,0.001888592,0.00298184,0.02427623],"study_design_scores_gemma":[0.00008438196,0.0000403213,0.5902025,0.00001923133,0.00006260565,0.00003518369,0.0002457164,0.4017662,0.002438394,0.003185248,0.001888674,0.00003174001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994391,0.00005927979,0.002588311,0.0001324527,0.000009537001,0.00000265868,0.001400179,0.0001790525,0.001237554],"genre_scores_gemma":[0.9983637,0.00002931829,0.00056637,0.00001513038,0.000004443885,0.000003171555,0.0008809788,0.00003040455,0.0001065411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02689838,"threshold_uncertainty_score":0.05348366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1014040751819813,"score_gpt":0.3711004336660744,"score_spread":0.269696358484093,"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."}}