{"id":"W2894741736","doi":"","title":"Ecosystem Model of the Entire Beaufort Sea Marine Ecosystem: A Temporal Tool for Assessing Food-Web Structure and Marine Animal Populations from 1970 to 2014","year":2018,"lang":"en","type":"article","venue":"Digital Commons - University of South Florida (University of South Florida)","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada; ArcticNet; National Oceanic and Atmospheric Administration; Alaska Department of Fish and Game; Mote Marine Laboratory and Aquarium; National Marine Fisheries Service; University of Washington; U.S. Geological Survey; Massachusetts Department of Fish and Game; U.S. Department of Commerce","keywords":"Food web; Ecosystem; Ecosystem model; Marine ecosystem; Environmental science; Mangrove ecosystem; Ecosystem-based management; Environmental resource management; Beaufort sea; Fishery; Ecology; Food chain; Geography; Oceanography; Arctic; Biology; Geology","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0002442344,0.0003990676,0.000265397,0.0004310602,0.0003794287,0.000719143,0.001062188,0.0006565314,0.002479887],"category_scores_gemma":[0.000604457,0.0002690784,0.0006370944,0.0004395309,0.000281169,0.0005798004,0.0004406165,0.0004638101,0.0002947266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051986,"about_ca_system_score_gemma":0.001028475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1292761,"about_ca_topic_score_gemma":0.08833747,"domain_scores_codex":[0.999933,0.00001292241,0.00000398432,0.00002028088,0.00001193758,0.00001797156],"domain_scores_gemma":[0.9998417,0.00004445864,0.00004026716,0.0000153486,0.00003559263,0.00002261169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002387098,0.00002251031,0.009463541,0.00001730785,0.00003370354,0.00007471476,0.00003232699,0.9844939,0.000502183,0.002322586,0.0004607334,0.002552516],"study_design_scores_gemma":[0.000004634146,0.000008674818,0.002655578,0.000005621743,0.00001034393,0.00002259913,0.00002125656,0.9957674,0.00007821302,0.0005542588,0.0008660798,0.000005354093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.873614,0.0004720028,0.09923523,0.0004138972,0.00005301768,0.00006769783,0.005721797,0.0006776091,0.01974485],"genre_scores_gemma":[0.9797813,0.0001819445,0.01340519,0.0000498689,0.00001950637,0.0001012517,0.001744803,0.00006285609,0.004653292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8707239,"threshold_uncertainty_score":0.2570472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03762294890297817,"score_gpt":0.2551430291650907,"score_spread":0.2175200802621125,"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."}}