{"id":"W2962769920","doi":"10.1093/plankt/fbz024","title":"North Atlantic right whale ( <i>Eubalaena glacialis</i> ) and its food: (I) a spatial climatology of <i>Calanus</i> biomass and potential foraging habitats in Canadian waters","year":2019,"lang":"en","type":"article","venue":"Journal of Plankton Research","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Right whale; Calanus; Calanus finmarchicus; Foraging; Copepod; Bay; Biomass (ecology); Krill; Oceanography; Water column; Fishery; Whale; Ecology; Context (archaeology); Habitat; Whaling; Zooplankton; Predation; Environmental science; Geography; Biology; Crustacean; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001089596,0.0001362473,0.0001414406,0.000794702,0.0007630181,0.0005122479,0.0002258634,0.000134969,0.001007604],"category_scores_gemma":[0.0002882017,0.0001066537,0.0002153511,0.001079455,0.0002536033,0.0001551736,0.0003098454,0.0001303325,0.0001173597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003083667,"about_ca_system_score_gemma":0.002546261,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9528106,"about_ca_topic_score_gemma":0.9889733,"domain_scores_codex":[0.9999235,0.000003605504,0.000003467102,0.00002172159,0.00002054222,0.00002726002],"domain_scores_gemma":[0.9998199,0.000009337863,0.00003232715,0.000008648968,0.00009476526,0.00003499527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002516087,0.000007231578,0.9916239,0.00001609889,0.00003624161,0.00004760368,0.0002952299,0.0003840596,0.002382534,0.00004598834,0.000386943,0.004749123],"study_design_scores_gemma":[4.663062e-7,0.00000214379,0.9991176,0.000003192279,0.000004305253,0.000008880442,0.0002997585,0.0002433682,0.00004085576,0.000003921518,0.0002736448,0.000001780244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978465,0.00008126161,0.00008393337,0.00003322329,0.000002529232,0.000005059952,0.0009529232,0.000007187803,0.000987413],"genre_scores_gemma":[0.9988538,0.00005376143,0.000207197,0.00001307779,0.000001174254,0.000003553019,0.000591428,0.000002086247,0.0002738968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04718941,"threshold_uncertainty_score":0.09493458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01847985581809797,"score_gpt":0.2647979752443446,"score_spread":0.2463181194262467,"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."}}