{"id":"W4245710468","doi":"10.1139/cjfas-57-11-2306","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":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Zooplankton; Biomass (ecology); Scaling; Environmental science; Distribution (mathematics); Oceanography; Canonical correlation; Statistics; Mathematics; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003626996,0.0006094028,0.0005155012,0.003754918,0.0005821965,0.001153405,0.0003398295,0.0003312199,0.0008556931],"category_scores_gemma":[0.02254016,0.0004383392,0.0005994844,0.003105819,0.0006052052,0.001251725,0.001199438,0.0007066776,0.000318153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004374211,"about_ca_system_score_gemma":0.0009452258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008509706,"about_ca_topic_score_gemma":0.008519419,"domain_scores_codex":[0.9984901,0.0007398524,0.0001067288,0.000303153,0.0002826435,0.00007736333],"domain_scores_gemma":[0.9905241,0.00560637,0.0006737056,0.001144503,0.001860055,0.000191165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003735435,0.0002141783,0.1475725,0.0002388584,0.0004721582,0.0001327624,0.001459643,0.1158446,0.02123693,0.01660686,0.002561442,0.6932865],"study_design_scores_gemma":[0.00002837707,0.0001355467,0.1851181,0.00005467607,0.000138422,0.0002794924,0.0003350357,0.7907972,0.004206327,0.01641334,0.002333159,0.000160392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4870056,0.0005675662,0.5083191,0.0001611296,0.00007793158,0.00009179441,0.0004215594,0.0005846202,0.002770685],"genre_scores_gemma":[0.8328837,0.0004529871,0.1652818,0.00002999364,0.00009639071,0.00009706706,0.0005273945,0.0001892025,0.0004414142],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008509706,"threshold_uncertainty_score":0.01918167,"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."}}