{"id":"W4392417698","doi":"10.4095/331359","title":"National Elevation Data Strategy update, fall 2022","year":2023,"lang":"en","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Elevation (ballistics); Geography; Geology; Mathematics; Geometry","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":[0.003023388,0.00256951,0.001694504,0.005258836,0.00101486,0.003575293,0.002604545,0.00212965,0.03013925],"category_scores_gemma":[0.01317166,0.001380445,0.0009721098,0.01370416,0.0004330002,0.002941584,0.001861462,0.002646259,0.04822773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004228011,"about_ca_system_score_gemma":0.01761257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4263866,"about_ca_topic_score_gemma":0.3734105,"domain_scores_codex":[0.9975176,0.0002147945,0.0003402736,0.0002253276,0.001433007,0.0002689062],"domain_scores_gemma":[0.9890492,0.0009250254,0.0006264147,0.0006340015,0.008205954,0.0005593784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006795072,0.00003646458,0.001362543,0.00007860164,0.00001305775,0.00001756913,0.00002053603,0.0003131462,0.00003933331,0.0003825503,0.9911158,0.006552352],"study_design_scores_gemma":[0.0001938073,0.0000263937,0.02316065,0.0001878848,0.00004947115,0.00005608902,0.0001281157,0.001110853,0.0004323442,0.001102696,0.973514,0.00003774487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0008559264,0.0003620134,0.0008445246,0.00127546,0.001056071,0.0001310119,0.9783331,0.0006489679,0.01649306],"genre_scores_gemma":[0.00374879,0.0007293099,0.00356195,0.0008483378,0.0002145544,0.0008509445,0.9474943,0.0003872822,0.04216446],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4263866,"threshold_uncertainty_score":0.8478095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2448255687601066,"score_gpt":0.3407884071990545,"score_spread":0.09596283843894793,"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."}}