{"id":"W4412684048","doi":"10.21203/rs.3.rs-7207206/v1","title":"An improved approach to estimate the natural land carbon sink","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Carbon sink; Natural (archaeology); Sink (geography); Environmental science; Carbon fibers; Natural resource economics; Economics; Computer science; Geography; Geology; Climate change; Algorithm; Cartography; Oceanography; Archaeology","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":[0.002104549,0.0009837426,0.001030366,0.002790821,0.0005996751,0.001577008,0.001386076,0.001749435,0.006895869],"category_scores_gemma":[0.007986845,0.0006624332,0.00120513,0.00197772,0.0005668908,0.00246512,0.001482785,0.001629576,0.001421717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109513,"about_ca_system_score_gemma":0.001250909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01536927,"about_ca_topic_score_gemma":0.01266266,"domain_scores_codex":[0.9990295,0.0004115935,0.00004797786,0.000224954,0.0002350352,0.00005082572],"domain_scores_gemma":[0.9985015,0.000838208,0.0000709653,0.0002445308,0.0003098363,0.000034984],"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":[0.0001215797,0.0001231337,0.003884147,0.000218512,0.0003104087,0.0001490614,0.0001231948,0.693031,0.008463215,0.1239758,0.005673284,0.1639268],"study_design_scores_gemma":[0.00001208052,0.00001331981,0.001038208,0.0000102025,0.00002619772,0.00003332031,0.000009807455,0.9427239,0.001093767,0.05058826,0.004434765,0.00001620605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005815357,0.0001927417,0.9904023,0.0002090462,0.00009428482,0.00003525227,0.0005807983,0.0002777861,0.002392311],"genre_scores_gemma":[0.14848,0.0004450608,0.837711,0.0001773135,0.0002979026,0.0002492853,0.001150948,0.0003723364,0.01111621],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01536927,"threshold_uncertainty_score":0.0305596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03040001690746687,"score_gpt":0.3869966260234639,"score_spread":0.356596609115997,"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."}}