{"id":"W4414985002","doi":"10.1016/j.rsma.2025.104546","title":"Small scale mangrove conservation forests enhance significant above-ground and below-ground carbon sequestration: A measure of blue carbon stock for climate change mitigation","year":2025,"lang":"en","type":"article","venue":"Regional Studies in Marine Science","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Mangrove; Blue carbon; Reforestation; Carbon sequestration; Habitat; Climate change mitigation; Carbon stock; Vegetation (pathology); Climate change","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":[0.0002554629,0.0001953755,0.0001420813,0.0003316781,0.0002610601,0.0004790736,0.0001207464,0.0001731489,0.002296445],"category_scores_gemma":[0.0004459269,0.00008119666,0.0001252384,0.0002895518,0.000338496,0.0005782921,0.0003402895,0.0001423048,0.0001367295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004849799,"about_ca_system_score_gemma":0.0004214128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005883824,"about_ca_topic_score_gemma":0.03494261,"domain_scores_codex":[0.9999117,0.00002229364,0.000003551711,0.00002090662,0.00001670554,0.00002491451],"domain_scores_gemma":[0.9995382,0.00007981264,0.000118133,0.00005347902,0.00008053142,0.000129954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006326216,0.0003634964,0.7888033,0.0001438015,0.000365536,0.0002465754,0.0003222457,0.004235965,0.1489213,0.002551556,0.001080901,0.05233269],"study_design_scores_gemma":[0.000007606892,0.00005935856,0.9925883,0.000006836068,0.00004555847,0.00005037268,0.0002112025,0.001606164,0.004208161,0.0005296106,0.0006824025,0.000004400109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962944,0.00008403508,0.0003891105,0.00009248639,0.000005848101,0.000006171956,0.0001182948,0.00001263495,0.002996935],"genre_scores_gemma":[0.9994445,0.00002207815,0.0001819243,0.00001440609,0.000003090218,0.000001430846,0.00002595908,0.000001931389,0.0003046214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005883824,"threshold_uncertainty_score":0.01169914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04250164472387313,"score_gpt":0.2868859893958501,"score_spread":0.2443843446719769,"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."}}