{"id":"W2317515661","doi":"10.3354/meps11680","title":"Finding the way to the top: how the composition of oceanic mid-trophic micronekton groups determines apex predator biomass in the central North Pacific","year":2016,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Oceanic and Atmospheric Administration; University of Cambridge; Johns Hopkins University; David and Lucile Packard Foundation","keywords":"Apex predator; Trophic level; Bay; Fishery; Pelagic zone; Biomass (ecology); Oceanography; Fishing; Trophic cascade; Marine ecosystem; Albatross; Ecosystem; Geography; Environmental science; Ecology; Food web; Biology; Geology","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":[0.0002294509,0.0003721841,0.0002321574,0.0002398656,0.0003950073,0.0007212362,0.0006105786,0.0005123665,0.001013283],"category_scores_gemma":[0.0007057052,0.0003845838,0.0004434194,0.0002045898,0.0003345241,0.0007029966,0.0004968506,0.0003399435,0.00007522589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295556,"about_ca_system_score_gemma":0.0009948915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1639967,"about_ca_topic_score_gemma":0.140707,"domain_scores_codex":[0.9999466,0.00001296885,0.000002198386,0.0000163253,0.000004858636,0.0000170463],"domain_scores_gemma":[0.9998472,0.00005544766,0.00002681987,0.000007145928,0.00002276123,0.00004060856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002008616,0.00009344718,0.2699651,0.00005444029,0.0001551505,0.0003176669,0.0002770921,0.7155907,0.007069911,0.001005949,0.0002491452,0.005020509],"study_design_scores_gemma":[0.00004351901,0.00008990627,0.09458124,0.00001281192,0.00008021176,0.00003968181,0.0005227441,0.9024957,0.0009530503,0.0008412761,0.0003128968,0.00002696298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993111,0.00001327683,0.0002950459,0.00002593631,0.000001013997,0.000002052955,0.00004166185,0.000004636565,0.0003052661],"genre_scores_gemma":[0.9991609,0.00002290446,0.0004880469,0.00001277685,5.974784e-7,0.000003931571,0.00005073268,0.000004897624,0.0002552184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1639967,"threshold_uncertainty_score":0.3260843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137722078455045,"score_gpt":0.2207120348298407,"score_spread":0.2093348140452903,"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."}}