{"id":"W4409186893","doi":"10.1016/j.marpolbul.2025.117909","title":"Blue carbon stock in Tunisian coastal sediments: First assessment and implications for ecosystem conservation and climate change mitigation","year":2025,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Tunis El Manar; Universiteit Antwerpen; Consorzio Interuniversitario Nazionale per la Scienza e Tecnologia dei Materiali; Ministry of Advanced Education and Skills Development","keywords":"Climate change; Environmental science; Blue carbon; Ecosystem; Oceanography; Carbon stock; Stock (firearms); Coastal ecosystem; Environmental protection; Geography; Ecology; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003261204,0.000420954,0.0001841761,0.001303471,0.0004035508,0.0008027289,0.0001863872,0.0003278492,0.001076178],"category_scores_gemma":[0.0002306263,0.0001277875,0.0002271798,0.0009715572,0.0002246048,0.0004117278,0.000398877,0.0001286918,0.0001272877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457543,"about_ca_system_score_gemma":0.0005793684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05189273,"about_ca_topic_score_gemma":0.1045278,"domain_scores_codex":[0.9999453,0.00001107501,0.000004409032,0.000009023862,0.00001151596,0.00001864494],"domain_scores_gemma":[0.999853,0.00001346903,0.00005536154,0.000009453754,0.00004907142,0.00001962918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000193387,0.0000368988,0.9404784,0.0001101325,0.0001879677,0.0006756897,0.0004871265,0.001781535,0.00937283,0.0003576865,0.0003542091,0.04596413],"study_design_scores_gemma":[0.00000354797,0.00004224551,0.9933309,0.0000341225,0.00004260179,0.0001222459,0.0008796529,0.001695959,0.001432927,0.0001094518,0.00229936,0.000006928137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965907,0.001140832,0.0001862556,0.0001448035,0.000005617561,0.000005655247,0.0004182806,0.000006879695,0.001500998],"genre_scores_gemma":[0.997733,0.000774698,0.0003650643,0.00003148549,0.000007391564,0.000004029112,0.0002094272,0.00000229958,0.0008726282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05189273,"threshold_uncertainty_score":0.1031814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009940930533814007,"score_gpt":0.2435611692687267,"score_spread":0.2336202387349127,"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."}}