{"id":"W4391352469","doi":"10.3390/f15020264","title":"Exploring the Potential of Roadside Plantation for Carbon Sequestration Using Simulation in Southern Quebec, Canada","year":2024,"lang":"en","type":"article","venue":"Forests","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; Université Laval","funders":"","keywords":"Carbon sequestration; Afforestation; Environmental science; Agroforestry; Vegetation (pathology); Soil carbon; Greenhouse gas; Carbon fibers; Agriculture; Forestry; Environmental protection; Geography; Ecology; Carbon dioxide; Soil water; Soil science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000982614,0.00005219577,0.00004309615,0.00003145501,0.00003125186,0.00002204654,0.00005570092,0.00001338129,0.00003010319],"category_scores_gemma":[0.00001043162,0.00004126667,0.00001723767,0.0001197647,0.0000198953,0.0001722758,0.00001863406,0.0000314961,0.000004679152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001688883,"about_ca_system_score_gemma":0.0000362691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8788239,"about_ca_topic_score_gemma":0.988078,"domain_scores_codex":[0.9995275,0.00001642365,0.0001246211,0.00009389497,0.0001343499,0.0001031944],"domain_scores_gemma":[0.9998519,0.00003829212,0.00003046118,0.00006418809,0.000002777678,0.00001233824],"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":[0.00001397622,0.000003066095,0.01845841,0.0000197789,0.000003734863,0.000002832514,0.00086327,0.9777623,0.0008220471,0.0001738912,0.00008416491,0.001792476],"study_design_scores_gemma":[0.00007644537,0.000008585217,0.1039933,0.00002687668,0.00001143127,2.895036e-7,0.00009494572,0.8947948,0.0002220811,0.0004087649,0.0003094358,0.00005303156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987401,0.000009991126,0.0004510953,0.00009123863,0.0001870889,0.0002218795,0.000004869933,0.00001052237,0.0002831922],"genre_scores_gemma":[0.9993793,0.000001212134,0.00004445317,0.000009911966,0.00007112968,0.00001622837,0.00001895136,0.000007566472,0.0004511833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.109254,"threshold_uncertainty_score":0.1682806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04071266323020345,"score_gpt":0.2610550248025412,"score_spread":0.2203423615723377,"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."}}