{"id":"W2605476425","doi":"10.5670/oceanog.2015.63","title":"Assessing Bioresources and Standing Stock of Zoobenthos (Key Species, High Taxa, Trophic Groups) in the Chukchi Sea","year":2015,"lang":"en","type":"article","venue":"Oceanography","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Maryland Center for Environmental Science; National Oceanic and Atmospheric Administration; Canadian Institute for Advanced Research; Woods Hole Oceanographic Institution","keywords":"Trophic level; Taxon; Stock (firearms); Key (lock); Environmental science; Fishery; Ecology; Oceanography; Geography; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003425376,0.000113888,0.0001598893,0.0001259172,0.0001271645,0.00008094764,0.0001443447,0.0000308949,0.0001241226],"category_scores_gemma":[0.00001331091,0.00007274419,0.00004190996,0.0003532039,0.0002144609,0.000196042,0.00002822493,0.00009758358,0.000003162571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002997316,"about_ca_system_score_gemma":0.000005472917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001494743,"about_ca_topic_score_gemma":0.0009991546,"domain_scores_codex":[0.9991155,0.00008270121,0.0001618968,0.0001626651,0.0002796649,0.0001975813],"domain_scores_gemma":[0.9996651,0.00007567244,0.00007741036,0.0001148789,0.000006123436,0.00006082724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000152163,0.00001713353,0.9947731,0.00001383366,0.00001274644,0.000006259777,0.001059434,0.00007217893,0.000005261786,0.00004649671,0.000427521,0.003550807],"study_design_scores_gemma":[0.0002638483,0.0001182052,0.9898812,0.00001629047,0.00001456489,0.000003708601,0.004683611,0.0002854271,0.00001323382,0.0003911089,0.004232807,0.00009599482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899134,0.00154894,0.00001628097,0.000150867,0.00006767456,0.000101806,0.00002840889,0.000009491078,0.008163147],"genre_scores_gemma":[0.9992629,0.0002960135,0.000256924,0.00007811719,0.00005655155,5.878769e-7,0.00002620854,0.00000244715,0.00002029425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009349472,"threshold_uncertainty_score":0.2966422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03372014472501483,"score_gpt":0.2135552112142627,"score_spread":0.1798350664892479,"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."}}