{"id":"W1857623549","doi":"10.1002/jgrc.20130","title":"Sensitivity and uncertainty analysis of model hypoxia estimates for the Texas‐Louisiana shelf","year":2013,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Environmental science; Surface runoff; Hypoxia (environmental); Uncertainty analysis; Sensitivity (control systems); Generalized additive model; Climatology; Hydrology (agriculture); Statistics; Ecology; Mathematics; Geology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00386291,0.0008449632,0.0005825848,0.0009969561,0.0006579329,0.00102777,0.0008254597,0.0008706926,0.0006653275],"category_scores_gemma":[0.01108094,0.0005851223,0.001220587,0.0005841288,0.0007111338,0.0006822671,0.00130585,0.001022507,0.0000397451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001994834,"about_ca_system_score_gemma":0.0009053655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04272195,"about_ca_topic_score_gemma":0.01544138,"domain_scores_codex":[0.9989685,0.0005971706,0.00006452352,0.0001663386,0.00009832106,0.0001051262],"domain_scores_gemma":[0.985946,0.01176965,0.0008445164,0.0005291156,0.0007227171,0.0001880423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006092414,0.00001686446,0.009915689,0.00001149774,0.00008211524,0.00003387677,0.00001189986,0.9885731,0.0005354027,0.000199035,0.00005188371,0.0005077748],"study_design_scores_gemma":[0.00002352352,0.00008985389,0.007858647,0.00001020625,0.00006376732,0.000017494,0.00004676453,0.9894749,0.001882894,0.0004065301,0.000102115,0.00002329487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930101,0.0000949227,0.005427682,0.0001587596,0.00001040017,0.00002292389,0.0005495106,0.00006801783,0.0006577133],"genre_scores_gemma":[0.998893,0.00001726927,0.0008000441,0.0000139368,0.000001958751,0.00001075226,0.0001883018,0.000005931361,0.00006897341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04272195,"threshold_uncertainty_score":0.08494657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03712679622121422,"score_gpt":0.29555914986735,"score_spread":0.2584323536461358,"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."}}