{"id":"W3181206497","doi":"10.5194/os-17-1367-2021","title":"Atmospherically forced sea-level variability in western Hudson Bay, Canada","year":2021,"lang":"en","type":"article","venue":"Ocean science","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Manitoba Hydro; University of Manitoba","funders":"NOAA's Atlantic Oceanographic and Meteorological Laboratory; Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; Canadian Meteorological and Oceanographic Society; Canada Excellence Research Chairs, Government of Canada; University of Miami; ArcticNet; Canada Research Chairs; Cooperative Institute for Marine and Atmospheric Studies, University of Miami; Manitoba Hydro","keywords":"Bay; Climatology; Tide gauge; Sea level; Oceanography; Forcing (mathematics); Storm surge; Sea ice; Discharge; Environmental science; Geology; Storm; Geography; Drainage basin","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003970115,0.0004977937,0.0004165193,0.0005306822,0.001083504,0.00129959,0.001040379,0.0004183496,0.001836688],"category_scores_gemma":[0.000970318,0.0002769296,0.000528041,0.001079396,0.0004905298,0.000265088,0.0004115631,0.000622547,0.0002607325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01965907,"about_ca_system_score_gemma":0.01835142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921789,"about_ca_topic_score_gemma":0.9911131,"domain_scores_codex":[0.9997509,0.00002745392,0.00001512181,0.00006876207,0.00006405206,0.00007378451],"domain_scores_gemma":[0.9992608,0.00007097505,0.00004667411,0.00003750224,0.0004240726,0.0001599204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007526881,0.0003449009,0.8968488,0.0000983353,0.0003906757,0.0006043319,0.0003391827,0.07525562,0.003912251,0.0007466461,0.01035505,0.01035155],"study_design_scores_gemma":[0.000211956,0.00009034463,0.8578355,0.00003074613,0.00007870633,0.00004069636,0.0009070675,0.1364284,0.0009336302,0.0001268616,0.003255903,0.00006011029],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928008,0.00008731906,0.0001611541,0.0001620807,0.00004139793,0.00002000093,0.00543643,0.0000678545,0.001222951],"genre_scores_gemma":[0.9948101,0.00006225355,0.0002301608,0.00004612441,0.000006116032,0.00001347755,0.003687988,0.000009892475,0.001133833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01965907,"threshold_uncertainty_score":0.1426372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171227769709062,"score_gpt":0.2065968275864956,"score_spread":0.194884549889405,"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."}}