{"id":"W140122879","doi":"10.1007/978-3-642-20338-1_15","title":"On the Determination of Sea Level Changes by Combining Altimetric, Tide Gauge, Satellite Gravity and Atmospheric Observations","year":2011,"lang":"en","type":"book-chapter","venue":"International Association of Geodesy symposia","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Tide gauge; Covariance; Post-glacial rebound; Altimeter; Sea level; Satellite; Geodesy; Observational error; Geology; Computer science; Econometrics; Statistics; Mathematics; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005072361,0.001628749,0.0008833947,0.001200425,0.0003863397,0.001756106,0.002010708,0.001443436,0.01504724],"category_scores_gemma":[0.0007999624,0.0007509996,0.0007143714,0.002708467,0.001174298,0.002610682,0.001905709,0.001708724,0.01383741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004166412,"about_ca_system_score_gemma":0.0005213589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004106595,"about_ca_topic_score_gemma":0.007375053,"domain_scores_codex":[0.9997039,0.00004681011,0.00001386138,0.0000580616,0.000162503,0.0000148235],"domain_scores_gemma":[0.9997208,0.000180526,0.000008899796,0.00002977261,0.00005282147,0.000007218604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006774913,0.00005649068,0.0005733031,0.0007720215,0.0001034841,0.0004094033,0.0002603821,0.01631076,0.008903439,0.05685477,0.1443896,0.7712986],"study_design_scores_gemma":[0.00002390207,0.00009891592,0.00365669,0.0006526618,0.0001019451,0.0008636248,0.00009638286,0.02759519,0.008570057,0.1858122,0.7724327,0.00009581191],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004198216,0.07649551,0.6723576,0.003580084,0.009260561,0.0002611471,0.002359591,0.002420787,0.2290666],"genre_scores_gemma":[0.03417324,0.1806835,0.4039726,0.003597381,0.005528396,0.0002771382,0.004894575,0.001135188,0.3657379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01504724,"threshold_uncertainty_score":0.05033809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04479627845483232,"score_gpt":0.2175605945648527,"score_spread":0.1727643161100204,"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."}}