{"id":"W4288068655","doi":"10.3389/fmars.2022.873608","title":"Biodiversity of coastal epibenthic macrofauna in Eastern Canadian Arctic: Baseline mapping for management and conservation","year":2022,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; ArcticNet; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; ArcticNet; Nunavut Wildlife Research Trust; Polar Knowledge Canada; World Wildlife Fund","keywords":"Bay; Biodiversity; Species richness; Benthic zone; Arctic; Oceanography; Ecology; Abundance (ecology); Geography; Habitat; Ecosystem; Environmental science; Marine ecosystem; Fishery; Biology; 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":[0.0004172764,0.0003475005,0.0002351504,0.001977957,0.002022677,0.0008622376,0.0004816056,0.0001883548,0.000758042],"category_scores_gemma":[0.0007331867,0.0001832827,0.00019333,0.003457995,0.0003342043,0.0003038841,0.0005536479,0.0002265989,0.0001252446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006608361,"about_ca_system_score_gemma":0.008959323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9806727,"about_ca_topic_score_gemma":0.9949301,"domain_scores_codex":[0.9997479,0.00001539428,0.00001466158,0.00004498153,0.0000991109,0.00007792439],"domain_scores_gemma":[0.9991388,0.0000293021,0.0001227331,0.00001993142,0.0005481954,0.0001409292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005186562,0.00002336766,0.9721153,0.00006135598,0.00004125131,0.00008845724,0.001104705,0.0002722451,0.001649855,0.00005220321,0.0008222189,0.02371704],"study_design_scores_gemma":[9.341455e-7,0.000006952166,0.9982839,0.00001117722,0.000006617103,0.00001561976,0.0008324654,0.0001955604,0.00004299908,0.00000692419,0.0005941028,0.000002756857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958327,0.0005932892,0.0002063139,0.00007183666,0.000003634841,0.00002094585,0.001905677,0.000008382204,0.001357146],"genre_scores_gemma":[0.9947783,0.0007975946,0.001363235,0.00003986677,0.000003681741,0.00002855545,0.001999277,0.000004262634,0.0009852253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01932734,"threshold_uncertainty_score":0.04794729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184787051549138,"score_gpt":0.2175744354112944,"score_spread":0.1990957302563806,"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."}}