{"id":"W4400203553","doi":"10.9734/ijecc/2024/v14i74265","title":"Remote Sensing Methods and GIS Approaches for Carbon Sequestration Measurement: A General Review","year":2024,"lang":"en","type":"review","venue":"International Journal of Environment and Climate Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Géomatique du Québec","funders":"","keywords":"Carbon sequestration; Geospatial analysis; Remote sensing; Environmental science; Environmental resource management; Lidar; Climate change; Carbon stock; Computer science; Geography; Ecology","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":[0.003009566,0.001503913,0.001898185,0.006368418,0.0004056055,0.002354947,0.0015423,0.001888944,0.0045828],"category_scores_gemma":[0.005791838,0.0006952282,0.001992996,0.008556211,0.0009368517,0.003271183,0.0008962363,0.001595896,0.001461532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001209372,"about_ca_system_score_gemma":0.003175162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005143372,"about_ca_topic_score_gemma":0.004830565,"domain_scores_codex":[0.9986238,0.0003386888,0.0002587067,0.0002402206,0.0004725794,0.00006598284],"domain_scores_gemma":[0.9935578,0.004944333,0.0004162009,0.000122873,0.0008966706,0.00006216327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000681352,0.00008052718,0.001164726,0.0742735,0.0002893994,0.0002265879,0.0002835046,0.001579901,0.001049818,0.00801885,0.01484881,0.8981163],"study_design_scores_gemma":[0.00001732381,0.000187885,0.005430363,0.04968208,0.0009298646,0.00131868,0.0004996105,0.001159193,0.00127038,0.006120201,0.9332482,0.0001362047],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002289091,0.9971786,0.0007982305,0.0003774656,0.000174609,0.00001959666,0.00006338463,0.00001231255,0.001146903],"genre_scores_gemma":[0.001643569,0.9963414,0.001336973,0.0001677038,0.0001680716,0.00002230207,0.00006753068,0.000005911517,0.0002465002],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006368418,"threshold_uncertainty_score":0.01591635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1967333699098542,"score_gpt":0.3702777047278862,"score_spread":0.173544334818032,"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."}}