{"id":"W4414850422","doi":"10.1007/s41748-025-00817-6","title":"Exploring the Multifaceted Carbon Sequestration Potential of Acadian Forests: A Detailed Study Integrating LiDAR Data and Environmental Influences","year":2025,"lang":"en","type":"article","venue":"Earth Systems and Environment","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Carbon sequestration; Biomass (ecology); Ecosystem; Temperate climate; Carbon cycle; Greenhouse gas; Vegetation (pathology); Carbon fibers; Soil carbon","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":[0.0005893119,0.0003072347,0.0002820384,0.001005876,0.0004449477,0.0008495495,0.0003275421,0.000263871,0.0008649122],"category_scores_gemma":[0.0007962179,0.0001745635,0.0004162198,0.001760658,0.0003198067,0.0009148991,0.0004905274,0.0002395626,0.00005206862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006635335,"about_ca_system_score_gemma":0.0007901445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03694671,"about_ca_topic_score_gemma":0.06566319,"domain_scores_codex":[0.999846,0.00004190828,0.000009581311,0.00004159115,0.00002556323,0.00003546798],"domain_scores_gemma":[0.9996413,0.0001692125,0.00005940814,0.00003493137,0.00006568216,0.00002943043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001316707,0.00008405465,0.9311495,0.00005995005,0.0003569277,0.000546849,0.0001987532,0.03256143,0.008562866,0.001561417,0.0001665729,0.02461991],"study_design_scores_gemma":[0.00000843423,0.00004131508,0.9140307,0.00001922208,0.0002698152,0.0001706037,0.0008562248,0.08002796,0.00205742,0.0012639,0.001228405,0.00002597534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989158,0.0001437572,0.0002795203,0.00002727188,0.000001074042,0.000001913921,0.0001154808,0.000005219995,0.0005100714],"genre_scores_gemma":[0.999408,0.0000707721,0.0003549162,0.000004935479,0.000001820797,0.000001016021,0.00008972656,0.000001953354,0.00006691316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9630533,"threshold_uncertainty_score":0.07346332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02598050757512945,"score_gpt":0.2254215325558,"score_spread":0.1994410249806705,"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."}}