{"id":"W3205244564","doi":"10.3389/fmars.2021.720710","title":"Detection of Ecological Thresholds and Selection of Indicator Taxa for Epibenthic Communities Exposed to Multiple Pressures","year":2021,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; ArcticNet; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Institut Nordique De Recherche En Environnement Et En Santé Au Travail","keywords":"Benthic zone; Taxon; Biomass (ecology); Ecology; Abundance (ecology); Environmental science; Ecosystem; Biology; Estuary; Biota; Oceanography; Geology","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":[0.0002741409,0.0002185907,0.0002048752,0.001297621,0.0003524625,0.0004860605,0.0002622541,0.0003238787,0.0003096868],"category_scores_gemma":[0.0006773979,0.0001465472,0.00009542202,0.0006984497,0.0003367095,0.0003264308,0.0004880802,0.0001988034,0.00007183327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004743293,"about_ca_system_score_gemma":0.0003759027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02142657,"about_ca_topic_score_gemma":0.08096755,"domain_scores_codex":[0.9997602,0.00002763533,0.00001420714,0.00006039726,0.00006560095,0.00007200891],"domain_scores_gemma":[0.9991897,0.00009595155,0.0003526331,0.00002220344,0.0001965942,0.0001430727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009496591,0.00002628764,0.9534443,0.00003136835,0.00001717897,0.00007267157,0.0004157784,0.0001799763,0.03818023,0.00002529577,0.0000478292,0.00746404],"study_design_scores_gemma":[6.513275e-7,0.00002158248,0.9983801,0.000002764975,0.000003673323,0.00002932003,0.0002812293,0.0002479836,0.0009433136,0.0000125947,0.00007434656,0.000002460453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994435,0.00006072958,0.0002123702,0.000004643658,5.755346e-7,0.000004088021,0.00005970282,0.000004878477,0.000209444],"genre_scores_gemma":[0.9991643,0.000050118,0.0005094942,0.000006334291,7.96161e-7,0.000005789856,0.0001300529,0.00000138037,0.000131768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02142657,"threshold_uncertainty_score":0.04260367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015714464082307,"score_gpt":0.2464771560573759,"score_spread":0.2263200114165529,"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."}}