{"id":"W4386770905","doi":"10.1525/elementa.2023.00024","title":"Multiple human activities in coastal benthic ecosystems: Introducing a metric of cumulative exposure","year":2023,"lang":"en","type":"article","venue":"Elementa Science of the Anthropocene","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Sept Iles; Bedford Institute of Oceanography; University of Toronto; Dalhousie University; Université Laval; Fisheries and Oceans Canada; Université du Québec à Rimouski","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Institut Nordique De Recherche En Environnement Et En Santé Au Travail; Fonds de recherche du Québec – Nature et technologies; Centre National de la Recherche Scientifique","keywords":"Benthic zone; Dredging; Ecosystem; Environmental science; Context (archaeology); Fishing; Environmental resource management; Ecosystem health; Cumulative effects; Fishery; Ecology; Geography; Ecosystem services","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006183785,0.0002813294,0.0001674966,0.00170842,0.0003038009,0.001094256,0.0003016214,0.0002847065,0.0007831196],"category_scores_gemma":[0.00250885,0.0001126711,0.0004143702,0.001699199,0.0006731033,0.0004528394,0.001087168,0.0002931947,0.00005558691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043027,"about_ca_system_score_gemma":0.0007741174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07598054,"about_ca_topic_score_gemma":0.1164116,"domain_scores_codex":[0.9997395,0.00006683164,0.00002701875,0.00005216322,0.0000745295,0.00003993699],"domain_scores_gemma":[0.9988301,0.0004207048,0.0003606121,0.0001124451,0.0001365328,0.0001395028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005315238,0.00004465237,0.9712878,0.00002784894,0.0001368475,0.00007702445,0.0004014072,0.01302825,0.001379769,0.0006523918,0.00008080065,0.01283008],"study_design_scores_gemma":[0.000002488019,0.0000862699,0.9780474,0.000008817507,0.00004120979,0.00009900217,0.0005951911,0.0193044,0.0004359697,0.0006875999,0.0006751307,0.00001648213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894705,0.0001236392,0.008236339,0.00005827529,0.000004712631,0.00002322277,0.0004111473,0.00002816466,0.001644007],"genre_scores_gemma":[0.9969866,0.00004577715,0.002667081,0.000004693466,0.000004162418,0.00001040658,0.0001156928,0.00000249916,0.0001631776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07598054,"threshold_uncertainty_score":0.1510766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605140957006405,"score_gpt":0.2717017828861985,"score_spread":0.2556503733161344,"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."}}