{"id":"W2024178140","doi":"10.1139/f02-067","title":"Hypoxia-based habitat compression in the Neuse River Estuary: context-dependent shifts in behavioral avoidance thresholds","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":314,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"North Carolina Sea Grant, North Carolina State University; National Oceanic and Atmospheric Administration","keywords":"Hypoxia (environmental); Estuary; Habitat; Ecology; Nutrient; Environmental science; Context (archaeology); Aquatic ecosystem; Ecosystem; Predation; Water quality; Biology; Oxygen; Chemistry","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":[0.0007678618,0.0001021471,0.0001928624,0.0001882577,0.0002353134,0.0002510396,0.0004123925,0.00003623143,0.0004426074],"category_scores_gemma":[0.00005687645,0.00006337414,0.00003948564,0.0003300596,0.0004266936,0.0004480206,0.000005308037,0.0001784932,0.00000583276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009127432,"about_ca_system_score_gemma":0.0001935274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1483925,"about_ca_topic_score_gemma":0.8577313,"domain_scores_codex":[0.9988136,0.0001269832,0.0003144546,0.0001397373,0.0003118259,0.0002933514],"domain_scores_gemma":[0.9993884,0.0001779167,0.0001191792,0.00009414023,0.00001476479,0.0002055857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000602629,0.00001151582,0.956202,0.000005526133,0.000001389781,0.0001619371,0.00165277,0.0002814962,0.000001141952,0.00001627146,0.0005804962,0.04107942],"study_design_scores_gemma":[0.0004710943,0.0005513954,0.9658401,0.0001293556,0.000007932318,0.00006284423,0.004631082,0.02439356,0.000002797193,0.0006247424,0.003138792,0.0001463099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930215,0.002142259,0.000007336512,0.002168874,0.000235382,0.000101565,0.000008364466,0.000001494641,0.00231318],"genre_scores_gemma":[0.9992533,0.00004116365,0.00008280064,0.0005478299,0.00003409668,7.488018e-7,0.000001033293,0.000001410485,0.00003765198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7093388,"threshold_uncertainty_score":0.8572785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03375443627431226,"score_gpt":0.2124756444440568,"score_spread":0.1787212081697446,"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."}}