{"id":"W3208536567","doi":"10.1111/1440-1703.12272","title":"Seagrass biomass and sediment carbon in conserved and disturbed seascape","year":2021,"lang":"en","type":"article","venue":"Ecological Research","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ateneo de Manila University; Environment and Natural Resources","keywords":"Seagrass; Seascape; Biomass (ecology); Environmental science; Ecosystem; Bay; Blue carbon; Fishery; Vegetation (pathology); Ecology; Oceanography; Habitat; Biology; 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":[0.0001526399,0.0003037062,0.0001467648,0.0009180261,0.0003440754,0.0005604984,0.0001523526,0.0001707523,0.001139596],"category_scores_gemma":[0.0004632739,0.0001373735,0.0001701183,0.0009071917,0.000315664,0.0002794845,0.0003779652,0.0001612511,0.00009546396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003875646,"about_ca_system_score_gemma":0.0001764111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01997351,"about_ca_topic_score_gemma":0.04677816,"domain_scores_codex":[0.9998987,0.0000139245,0.000009994336,0.00003246461,0.00002772471,0.00001710334],"domain_scores_gemma":[0.9995264,0.00005056124,0.0002002072,0.00002117268,0.0001011482,0.0001005408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005670093,0.00001952107,0.9943575,0.00001965504,0.00005001464,0.0001115642,0.0002365075,0.0002095238,0.002758132,0.00001566382,0.00003049401,0.002134783],"study_design_scores_gemma":[4.934163e-7,0.00001506526,0.9994672,0.000001548715,0.000003375673,0.00002418016,0.0001763339,0.000168178,0.00009701237,0.000006921174,0.00003846771,0.000001212169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997179,0.00003233556,0.00003530117,0.000002516568,5.909933e-7,0.000001143072,0.00009931446,0.000002267255,0.0001086067],"genre_scores_gemma":[0.9997219,0.00001494189,0.00004943095,0.000002686611,7.561726e-7,0.000001727521,0.0001147438,8.144587e-7,0.00009292216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01997351,"threshold_uncertainty_score":0.03971452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05795932770139265,"score_gpt":0.2968460740680491,"score_spread":0.2388867463666564,"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."}}