{"id":"W3154777293","doi":"10.20944/preprints202103.0493.v1","title":"Howland Forest, ME, USA: Multi-Gas Flux Record (CO2, CH4, N2O) Establishes New Forest Products Linked to Social Cost of Emission in Contrast to Carbon Limited Sequestration Proxies","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Emissions Reduction Alberta","funders":"","keywords":"Eddy covariance; Greenhouse gas; Carbon sequestration; Environmental science; Revenue; Natural resource economics; Business; Ecosystem; Accounting; Economics; Ecology; Carbon dioxide","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":[0.0004348381,0.0007949403,0.0002178645,0.001601269,0.0007084322,0.001503549,0.0006210983,0.000358098,0.03881069],"category_scores_gemma":[0.0006698524,0.000256301,0.0001810113,0.002599113,0.0002773003,0.001330141,0.0004953041,0.0007991422,0.01004993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001157916,"about_ca_system_score_gemma":0.001201123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09183217,"about_ca_topic_score_gemma":0.2084998,"domain_scores_codex":[0.9997359,0.00001888881,0.000009816654,0.00008771996,0.0001270474,0.00002067243],"domain_scores_gemma":[0.9993545,0.00008209496,0.0001014677,0.00009470977,0.0003038941,0.00006319039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002160888,0.0002164873,0.0707494,0.0003383282,0.0001005546,0.0002026181,0.0002553524,0.000912334,0.005818831,0.004722702,0.6522869,0.2641803],"study_design_scores_gemma":[0.00003843311,0.00004425354,0.1848274,0.0001433606,0.00005112707,0.0001516436,0.0002945176,0.001661297,0.002919345,0.0008608727,0.8089721,0.0000356228],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09370002,0.00417059,0.01011863,0.003282213,0.0006578455,0.0005296114,0.3794631,0.005920505,0.5021576],"genre_scores_gemma":[0.331913,0.004957871,0.03606648,0.001535967,0.0003205372,0.0007471718,0.3021531,0.002319006,0.3199868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09183217,"threshold_uncertainty_score":0.1825953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023089517863089,"score_gpt":0.3243540730518979,"score_spread":0.222045121265589,"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."}}