{"id":"W2290820272","doi":"10.5670/oceanog.2015.61","title":"Time-Series Benthic Community Composition and Biomass and Associated Environmental Characteristics in the Chukchi Sea During the RUSALCA 2004–2012 Program","year":2015,"lang":"en","type":"article","venue":"Oceanography","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Maryland Center for Environmental Science; National Oceanic and Atmospheric Administration; Russian Foundation for Basic Research; Canadian Institute for Advanced Research; Woods Hole Oceanographic Institution","keywords":"Benthic zone; Oceanography; Biomass (ecology); Series (stratigraphy); Environmental science; Composition (language); Geography; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001925627,0.0002917286,0.0001639917,0.001090412,0.0004183059,0.0003672407,0.0003036072,0.000296292,0.001063062],"category_scores_gemma":[0.0004652696,0.000210874,0.0002312027,0.001555005,0.0001856267,0.0002149002,0.0004261465,0.0002278755,0.0002534244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001344647,"about_ca_system_score_gemma":0.0005551719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2667947,"about_ca_topic_score_gemma":0.5004455,"domain_scores_codex":[0.9999037,0.000008813129,0.00001213479,0.00003240097,0.0000140881,0.00002889923],"domain_scores_gemma":[0.9994949,0.00003716072,0.0001627087,0.00002180468,0.0001668835,0.0001163763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001922477,0.00004088441,0.9896941,0.00006680752,0.0001348311,0.0001308915,0.0004794772,0.0005843731,0.001733066,0.00003978215,0.001156011,0.005747454],"study_design_scores_gemma":[9.917362e-7,0.00001085227,0.9991498,0.000005816636,0.00001223693,0.0000186504,0.0002883368,0.0002801356,0.00005644867,0.000002481568,0.0001713921,0.000002766729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963239,0.00004915523,0.00004410834,0.00001516231,0.00000376613,0.000004950895,0.003286964,0.0000100519,0.000261893],"genre_scores_gemma":[0.9948789,0.00004750301,0.000113516,0.000009725105,0.000002495999,0.00001119274,0.004251157,0.000002669316,0.000682891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2667947,"threshold_uncertainty_score":0.5304836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157835020294037,"score_gpt":0.2120755478194828,"score_spread":0.1904971976165424,"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."}}