{"id":"W2891499209","doi":"10.1029/2018jf004745","title":"Estimating Modern Elevations of Pliocene Shorelines Using a Coupled Ice Sheet‐Earth‐Sea Level Model","year":2018,"lang":"en","type":"article","venue":"Journal of Geophysical Research Earth Surface","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University; Pennsylvania State University; University of Pennsylvania; National Science Foundation","keywords":"Post-glacial rebound; Geology; Ice sheet; Shore; Sea level; Glacial period; Ice-sheet model; Lithosphere; Antarctic ice sheet; Deglaciation; Oceanography; Physical geography; Climatology; Cryosphere; Sea ice; Ice stream; Paleontology; Tectonics; Geography","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":[0.0002228793,0.0005518245,0.0002830561,0.0006087857,0.0002428486,0.0007233173,0.0006224402,0.0004812837,0.0009866139],"category_scores_gemma":[0.000841513,0.0004589567,0.0006151737,0.0005788526,0.0002096543,0.0004728668,0.0005416008,0.0003342069,0.0001931439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080682,"about_ca_system_score_gemma":0.001033743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07055017,"about_ca_topic_score_gemma":0.05058106,"domain_scores_codex":[0.9999201,0.00001449846,0.000005601203,0.00003448408,0.00001354576,0.00001172689],"domain_scores_gemma":[0.9998018,0.00004997108,0.00003536209,0.00003094554,0.00005348726,0.00002837692],"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":[0.00004004698,0.00002005472,0.02977144,0.000009911178,0.00007857368,0.00003502727,0.00002698118,0.9649626,0.0007415496,0.0001706647,0.0001833398,0.003959902],"study_design_scores_gemma":[0.00002203435,0.0000150966,0.01139323,0.000003852426,0.00002207823,0.000006352862,0.00001337632,0.9879022,0.0002570406,0.0001751408,0.0001820468,0.000007658609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799381,0.00007682956,0.01635031,0.00008168696,0.000008923351,0.00002167218,0.00150551,0.0003039815,0.001713024],"genre_scores_gemma":[0.9937568,0.0000407693,0.004787398,0.00001205554,0.000003415255,0.00002017249,0.001054975,0.00001995094,0.0003044473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07055017,"threshold_uncertainty_score":0.1402791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1801021851312043,"score_gpt":0.3659514967879971,"score_spread":0.1858493116567928,"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."}}