{"id":"W6965409947","doi":"10.3389/fmars.2022.857586.s001","title":"DataSheet_1_Blue Carbon Storage in a Northern Temperate Estuary Subject to Habitat Loss and Chronic Habitat Disturbance: Cowichan Estuary, British Columbia, Canada.docx","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blue carbon; Salt marsh; Carbon sequestration; Estuary; Total organic carbon; Spartina; Sediment; Ecosystem; Marsh; Oyster","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002480524,0.0006629899,0.0005104929,0.00287834,0.001119468,0.001002073,0.001162744,0.0002186576,0.154148],"category_scores_gemma":[0.001027949,0.0003775634,0.0003762044,0.005477396,0.0002511959,0.000418982,0.0004748086,0.0003273034,0.02333187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004940486,"about_ca_system_score_gemma":0.005840249,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9114612,"about_ca_topic_score_gemma":0.9641892,"domain_scores_codex":[0.9998401,0.000004139707,0.00001544947,0.00002280655,0.00008085723,0.00003661588],"domain_scores_gemma":[0.9986956,0.00007505078,0.0001086864,0.00005701454,0.0009264039,0.0001373185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001547265,0.00004317252,0.0672297,0.0009619761,0.00004833225,0.0001733817,0.0002731558,0.0005106045,0.0004855217,0.0002266948,0.8979847,0.03190811],"study_design_scores_gemma":[0.0001076922,0.00002860743,0.6139399,0.0003807269,0.00003529785,0.0001628037,0.0005703022,0.0005729863,0.0009760723,0.000163984,0.3830143,0.00004726768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004588915,0.00009078588,0.00007811827,0.000060264,0.00003634001,0.00006873745,0.9878203,0.00030843,0.006948062],"genre_scores_gemma":[0.04251412,0.0006058718,0.001193854,0.0001395225,0.00003738102,0.0003387185,0.9134693,0.0004119852,0.04128928],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.154148,"threshold_uncertainty_score":0.5156763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007417484082215102,"score_gpt":0.1978727576531484,"score_spread":0.1904552735709333,"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."}}