{"id":"W2434606021","doi":"10.1038/srep16085","title":"Coastal sea level projections with improved accounting for vertical land motion","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Post-glacial rebound; Tide gauge; Satellite altimetry; Sea level; Climatology; Climate change; Sea level rise; Global Positioning System; Geology; Geography; Geodesy; Altimeter; Physical geography; Oceanography; Environmental science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001691588,0.0007401553,0.0002974535,0.0004820516,0.0002041885,0.0007636928,0.0005696572,0.0004146848,0.002105633],"category_scores_gemma":[0.003914647,0.0003067568,0.0007345431,0.00143607,0.0001359515,0.001193935,0.0007567685,0.0006728294,0.0007321318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004669602,"about_ca_system_score_gemma":0.001334016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05210937,"about_ca_topic_score_gemma":0.05187216,"domain_scores_codex":[0.9993235,0.0002597303,0.00006129363,0.0002048504,0.0001034326,0.00004715438],"domain_scores_gemma":[0.9989365,0.000154489,0.000122282,0.0002463032,0.0004981894,0.00004223063],"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":[0.0004161808,0.0001474937,0.2605803,0.0001768066,0.0008484037,0.0002762732,0.0001788979,0.5936835,0.009631807,0.004967988,0.0104839,0.1186084],"study_design_scores_gemma":[0.0001355202,0.0001508446,0.3027371,0.00005488048,0.0004594167,0.0001266623,0.0002941477,0.6679488,0.0063013,0.00404478,0.01760936,0.0001371653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9312325,0.0004728922,0.04549405,0.001546232,0.0001942573,0.00007246892,0.009908705,0.0009420288,0.01013686],"genre_scores_gemma":[0.9541582,0.0001735951,0.03631953,0.0001242453,0.00003290279,0.0000379582,0.00744133,0.000169518,0.001542677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05210937,"threshold_uncertainty_score":0.1036121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06112193552207486,"score_gpt":0.2437270649452468,"score_spread":0.182605129423172,"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."}}