{"id":"W2994786645","doi":"10.1139/geomat-2019-0021","title":"The U.S. is replacing NAD83 with NATRF2022: what this means for Canada","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec); Government of New Brunswick; University of New Brunswick; Natural Resources Canada; Alberta Environment and Protected Areas; Ministry of Transportation of Ontario; Geological Survey of Canada","funders":"Natural Resources Canada","keywords":"North American Datum of 1927; Geodetic datum; Reference frame; Geography; Work (physics); Frame (networking); Modernization theory; Geospatial analysis; Regional science; Political science; Geodesy; Cartography; Computer science; Engineering; Telecommunications; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026183,0.00009155927,0.0001074582,0.00001055956,0.0003003692,0.0001793684,0.0001889786,0.00001931678,0.0008474283],"category_scores_gemma":[0.00001801284,0.00005287403,0.00002731333,0.00008682972,0.00002095672,0.0001428895,0.000005931056,0.00006193009,0.0001749471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007268977,"about_ca_system_score_gemma":0.0002037397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2261971,"about_ca_topic_score_gemma":0.6798029,"domain_scores_codex":[0.9990335,0.00001633675,0.0001180322,0.0001649661,0.0003844797,0.0002826862],"domain_scores_gemma":[0.9993662,0.0001771843,0.00005836638,0.0002767008,0.00005430039,0.00006728428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005000283,0.0000574417,0.44469,0.000583841,0.0007154574,0.00001887538,0.005092532,0.002912363,0.000198376,0.003137242,0.2045894,0.3375044],"study_design_scores_gemma":[0.001951362,0.000686544,0.2793719,0.0003342127,0.0001360253,0.00002168471,0.005808236,0.03019072,0.001259673,0.01451351,0.6646642,0.001061895],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958451,0.0004988061,0.00005139835,0.004673128,0.001199078,0.0009114327,0.000115963,0.00002599321,0.03407315],"genre_scores_gemma":[0.9956936,0.00001719893,0.0003381719,0.001087449,0.00004049176,0.000003092631,0.00003359315,0.000003690672,0.002782706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4600748,"threshold_uncertainty_score":0.9278746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008405462140402211,"score_gpt":0.1761383511583396,"score_spread":0.1677328890179373,"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."}}