{"id":"W8678021","doi":"","title":"A new canadian geoid model in support of levelling by GPS","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geoid; Geomatics; Levelling; Global Positioning System; Geodesy; Geography; Remote sensing; Geology; Cartography; Computer science; Geophysics; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001862634,0.0005959873,0.0004052621,0.001129891,0.001826103,0.002434563,0.001927416,0.000834547,0.02050802],"category_scores_gemma":[0.001315872,0.0003596609,0.0006198189,0.002062577,0.0008501918,0.0009231314,0.001357981,0.0007367764,0.003707915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004599562,"about_ca_system_score_gemma":0.009341988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8572646,"about_ca_topic_score_gemma":0.8666204,"domain_scores_codex":[0.9997197,0.00003631146,0.00001139263,0.00005391323,0.000126139,0.00005249896],"domain_scores_gemma":[0.9996265,0.00003282715,0.00001717337,0.00004376784,0.0002414953,0.00003820339],"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":[0.0001433027,0.00004766823,0.009224012,0.0001217376,0.00004027777,0.0004785314,0.0005444068,0.7552875,0.003459237,0.1470404,0.02795645,0.05565643],"study_design_scores_gemma":[0.00004467291,0.00002502157,0.002825463,0.00003788471,0.00003573025,0.0001275237,0.000439825,0.8546022,0.0007999763,0.01240717,0.1285645,0.00008991978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07429121,0.000456295,0.520961,0.002954479,0.001120853,0.0003886403,0.01786942,0.005534877,0.3764232],"genre_scores_gemma":[0.6635311,0.0009558806,0.2418201,0.0003306776,0.00009002762,0.0003166545,0.008049375,0.001006795,0.08389945],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1427354,"threshold_uncertainty_score":0.2871519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621717629082492,"score_gpt":0.1889842903479635,"score_spread":0.1727671140571386,"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."}}