{"id":"W2522314302","doi":"10.3389/fmars.2016.00185","title":"Impacts of Intraguild Predation on Arctic Copepod Communities","year":2016,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Université Laval","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; ArcticNet","keywords":"Copepod; Predation; Biology; Omnivore; Intraguild predation; Ingestion; Ecology; Arctic; Food web; Calanus; Zoology; Crustacean; Predator","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003618565,0.000617236,0.0005550464,0.0004445498,0.0005795214,0.001138051,0.0004572979,0.000670461,0.001245688],"category_scores_gemma":[0.001719299,0.0003375341,0.0007236687,0.0001478461,0.0004603175,0.0005017734,0.001570181,0.0004476051,0.0001446855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008718137,"about_ca_system_score_gemma":0.0006104829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0250169,"about_ca_topic_score_gemma":0.02173577,"domain_scores_codex":[0.9997539,0.00006702351,0.00001345841,0.00004905504,0.00003473505,0.00008183419],"domain_scores_gemma":[0.9991978,0.0002460996,0.0001837515,0.0000536703,0.00008828573,0.0002303934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007229008,0.0002287642,0.5059353,0.0001399986,0.0005561345,0.001349739,0.0003404421,0.4485745,0.03081337,0.001401771,0.0004333549,0.009503775],"study_design_scores_gemma":[0.00004962014,0.0007460464,0.4417647,0.00004640056,0.0002162155,0.0004447499,0.0008018854,0.5518882,0.002624968,0.0007299224,0.0006087695,0.00007855776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991788,0.00004994504,0.0002052592,0.00002371698,0.000003210984,0.000001003063,0.00003767638,0.000007889869,0.0004923533],"genre_scores_gemma":[0.999661,0.00004148182,0.0001233441,0.00001045728,0.000002132703,0.000001992323,0.00004350343,0.000003836618,0.0001122295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0250169,"threshold_uncertainty_score":0.04974258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00878070264363206,"score_gpt":0.1990874406125801,"score_spread":0.190306737968948,"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."}}