{"id":"W3094841598","doi":"10.1029/2019jc015104","title":"Multi‐Century Impacts of Ice Sheet Retreat on Sea Level and Ocean Tides in Hudson Bay","year":2020,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Waterloo","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Bay; Bathymetry; Geology; Oceanography; Ice sheet; Sea level; Sea ice; Greenland ice sheet; Post-glacial rebound; Future sea level; Climatology; Arctic sea ice decline; Cryosphere; Antarctic sea ice","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006545291,0.0004185518,0.0002432864,0.0005161394,0.0003666291,0.001077119,0.0004857226,0.0006308416,0.001500726],"category_scores_gemma":[0.001055656,0.0002742954,0.0006681297,0.0005518497,0.0003198214,0.0005329766,0.0006166289,0.0004137503,0.0001464691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002961725,"about_ca_system_score_gemma":0.001500034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2443412,"about_ca_topic_score_gemma":0.2277878,"domain_scores_codex":[0.9998883,0.00002337725,0.000009048933,0.00002602296,0.00002015339,0.00003308447],"domain_scores_gemma":[0.99965,0.00008078352,0.00006750848,0.00002463772,0.00008595178,0.000091061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004232996,0.0001279213,0.5931674,0.00006576078,0.0003072018,0.0008115352,0.0002238605,0.3909251,0.003010215,0.0008044208,0.002231571,0.007901792],"study_design_scores_gemma":[0.0001096163,0.0002691111,0.5386372,0.00005080631,0.0002011672,0.0001496939,0.001008692,0.4535103,0.002319477,0.00063353,0.003034704,0.00007577319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977092,0.0000608226,0.0002221436,0.0001360607,0.00001496424,0.000005154246,0.001276715,0.00001742946,0.0005575836],"genre_scores_gemma":[0.9984992,0.00007995933,0.0002159182,0.00002797958,0.000004556499,0.000006209776,0.0008693823,0.000004354925,0.0002924342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7556587,"threshold_uncertainty_score":0.4858381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05823260464588895,"score_gpt":0.3095498560597116,"score_spread":0.2513172514138227,"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."}}