{"id":"W2560562998","doi":"10.3389/fmars.2016.00245","title":"Food-Web and Ecosystem Structure of the Open-Ocean and Deep-Sea Environments of the Azores, NE Atlantic","year":2016,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Fundação para a Ciência e a Tecnologia; Natural Environment Research Council; European Commission; Sight Research UK; Fundo Regional para a Ciência e Tecnologia","keywords":"Trophic level; Ecosystem; Marine ecosystem; Food web; Pelagic zone; Ecosystem model; Ecosystem health; Detritus; Environmental science; Marine Strategy Framework Directive; Biodiversity; Ecosystem-based management; Ecology; Fishery; Ecosystem services; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001507911,0.0002349969,0.0001344383,0.0006313009,0.0002554206,0.0004339336,0.0002519224,0.0002410293,0.0007560105],"category_scores_gemma":[0.0002839031,0.0001240852,0.0003974199,0.0003716342,0.00019374,0.0003777569,0.000249863,0.0001217377,0.00007760897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167999,"about_ca_system_score_gemma":0.0003290275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1335476,"about_ca_topic_score_gemma":0.1532576,"domain_scores_codex":[0.9999642,0.000007369121,0.000003244506,0.0000114014,0.000004371051,0.000009349297],"domain_scores_gemma":[0.9999183,0.00002364586,0.00002503276,0.000006723612,0.00001305236,0.00001311695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001878699,0.0001145407,0.8001983,0.00008283634,0.0002501699,0.0003912035,0.0003209701,0.1765832,0.007952574,0.001441653,0.0004798429,0.01199686],"study_design_scores_gemma":[0.00001013263,0.00004442805,0.8904449,0.00001508935,0.00004915988,0.00006869264,0.0001902966,0.1079962,0.0002440502,0.0004470962,0.0004768855,0.00001298327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991497,0.00006902641,0.0001901967,0.00001316215,7.852929e-7,0.000002323294,0.0002683767,0.000005924647,0.0003004986],"genre_scores_gemma":[0.9986846,0.0000976734,0.0004943651,0.000005269585,0.0000011859,0.000004594066,0.0004277757,0.000002018175,0.0002825239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1335476,"threshold_uncertainty_score":0.2655405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005506572169670675,"score_gpt":0.1966368693525282,"score_spread":0.1911302971828576,"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."}}