{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001622629,0.00006555327,0.0001262474,0.00006171512,0.00002027891,0.00001392418,0.0001300885,0.00003385869,0.001779793],"category_scores_gemma":[0.000006905418,0.0000608185,0.00002450338,0.0001081996,0.000007959371,0.0000720537,0.000003247934,0.0000568591,0.0006872999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000409229,"about_ca_system_score_gemma":0.0002414433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3391241,"about_ca_topic_score_gemma":0.2382254,"domain_scores_codex":[0.9992889,0.00001063962,0.0001540596,0.0001125282,0.0001849294,0.000248969],"domain_scores_gemma":[0.9996402,0.00001450844,0.00003489235,0.0001337255,0.00001547494,0.00016117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001422449,0.00002912904,0.9186064,0.00009670445,0.00002622854,0.000006564592,0.001114115,0.03416888,0.0008053189,0.0004365549,0.02006479,0.02463107],"study_design_scores_gemma":[0.001391576,0.0002666416,0.588183,0.00009188418,0.00002801698,0.000004755928,0.0002542204,0.3569306,0.001056958,0.0360419,0.01506637,0.0006840363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684735,0.0000466307,0.0002031618,0.0002634208,0.00009002462,0.0001555226,0.0001390325,0.000005314242,0.03062339],"genre_scores_gemma":[0.9970984,0.000002929159,0.001168848,0.0002053821,0.000008181412,1.93643e-7,0.00007611205,0.000001835565,0.001438116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3304234,"threshold_uncertainty_score":0.9991327,"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."}}