{"id":"W3023532757","doi":"","title":"CGVD2013: The Geoid-based Vertical Datum in Canada","year":2016,"lang":"en","type":"article","venue":"AGUFM","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geoid; Geodesy; Geodetic datum; Geology; Remote sensing; Geophysics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001289888,0.00005573657,0.0000595697,0.00001118039,0.00004997345,0.00001211548,0.000167763,0.00001379684,0.000629788],"category_scores_gemma":[0.00002997813,0.00002654372,0.00001561133,0.00007764391,0.00002671505,0.00004492869,0.000004629935,0.00005099139,0.0002347574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000122835,"about_ca_system_score_gemma":0.000344596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9631795,"about_ca_topic_score_gemma":0.9928631,"domain_scores_codex":[0.999325,0.00003796243,0.00008131047,0.000109228,0.0002337162,0.000212829],"domain_scores_gemma":[0.9996512,0.0001032672,0.0000104082,0.0001610119,0.00001318337,0.00006095394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001154653,0.000007304298,0.9732213,0.000002182092,0.000004094105,0.00001262934,0.000008997215,0.0004242632,0.0001884895,0.00005961996,0.0015157,0.02454386],"study_design_scores_gemma":[0.0002089542,0.00001520818,0.9878999,0.00001021509,0.00000241868,3.928438e-7,0.00001131896,0.002088688,0.0003193443,0.0005243246,0.008857059,0.00006214996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947782,0.00004549386,0.00001530973,0.003008634,0.000274854,0.00005973686,0.00002835611,0.000004045,0.001785372],"genre_scores_gemma":[0.9990181,0.00000233962,0.00001167484,0.0008185531,0.00003285903,5.751351e-7,0.000008538627,0.000001095623,0.0001062637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0296836,"threshold_uncertainty_score":0.6895737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490151071988192,"score_gpt":0.1733071073641196,"score_spread":0.1584055966442376,"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."}}