{"id":"W2087022685","doi":"10.1080/15230430.2000.12003371","title":"Sea-level Variation in Hudson Bay, Canada, from Tide-Gauge Data","year":2000,"lang":"en","type":"article","venue":"Arctic Antarctic and Alpine Research","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hydrographic Service; The Scarborough Hospital; University of Toronto","funders":"","keywords":"Bay; Tide gauge; Sea level; Oceanography; Advection; Seasonality; Environmental science; North Atlantic oscillation; Discharge; Sea surface temperature; Climatology; Geology; Geography; Ecology; Drainage basin","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009160957,0.0001591718,0.0002214221,0.00005061713,0.0002897292,0.00009636078,0.0005415473,0.00006971219,0.009391983],"category_scores_gemma":[0.0002235975,0.0001339306,0.00001494048,0.0008577795,0.0001960314,0.0004680474,0.00006585919,0.0004422264,0.00008289339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002130977,"about_ca_system_score_gemma":0.000696869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9786567,"about_ca_topic_score_gemma":0.9374693,"domain_scores_codex":[0.9975927,0.0002045199,0.0002798217,0.0005876932,0.0007167563,0.0006184793],"domain_scores_gemma":[0.9985137,0.00065921,0.00003567325,0.0004672977,0.00009043613,0.0002336764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008521668,0.0000407795,0.9130287,0.00005810371,0.00003131339,0.0000680546,0.0001710139,0.0000406599,0.000006075647,0.00005477928,0.004096997,0.08231828],"study_design_scores_gemma":[0.0004345774,0.00007880331,0.9650646,0.00007771044,0.00001168215,0.00001467292,0.0003056559,0.01596563,0.000005519686,0.002956568,0.01490551,0.0001790383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99028,0.002393657,0.00004519035,0.003071268,0.00008337692,0.0001998185,0.000898705,0.00001877868,0.003009239],"genre_scores_gemma":[0.9933767,0.002987484,0.001353332,0.0003682945,0.0001709693,0.000001536519,0.001013828,0.000006663964,0.0007212058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08213924,"threshold_uncertainty_score":0.9915136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07085499517315902,"score_gpt":0.2859078940577249,"score_spread":0.2150528988845659,"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."}}