{"id":"W2031017735","doi":"10.1139/f00-155","title":"Acoustic estimates of zooplankton biomass and distribution: application of canonical correlation to scaling of multifrequency acoustic data","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Materials Research","keywords":"Zooplankton; Taxon; Transect; Biomass (ecology); Scaling; Krill; Oceanography; Environmental science; Biology; Ecology; Geology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007401746,0.00007702935,0.0002164591,0.0001396819,0.0001550657,0.00006137035,0.0003489195,0.00004334703,0.0002050929],"category_scores_gemma":[0.0003971267,0.00005990612,0.00001586324,0.0003962703,0.000882943,0.0003060479,0.00001072656,0.00007094235,0.000001039651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009645572,"about_ca_system_score_gemma":0.000691297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03647921,"about_ca_topic_score_gemma":0.04918282,"domain_scores_codex":[0.9988645,0.00003717688,0.0004351453,0.0001537471,0.0003107453,0.0001986896],"domain_scores_gemma":[0.9989249,0.0003660921,0.0001881442,0.0001337737,0.00008859068,0.0002984683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004665167,0.00001524466,0.8123631,0.0001748194,0.00002829248,0.00001089378,0.0008339536,0.042066,0.003001798,0.00001407966,0.0001742622,0.1412708],"study_design_scores_gemma":[0.0001839984,0.0004309778,0.1772015,0.0001404404,0.0000545016,0.00006620248,0.0005792067,0.8199813,0.0004639898,0.0006759427,0.0001223009,0.00009964836],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468324,0.0006054252,0.05157461,0.0003213122,0.00006563747,0.0001166815,0.0003349806,0.000001455786,0.0001475305],"genre_scores_gemma":[0.9948967,0.00006282804,0.004957607,0.00001008034,0.00002018479,2.202124e-7,0.00004291501,0.000001537657,0.000007944445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7779153,"threshold_uncertainty_score":0.969937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03282898555356628,"score_gpt":0.2615094890954983,"score_spread":0.228680503541932,"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."}}