{"id":"W2982051603","doi":"10.4095/215828","title":"A digital elevation model of Atlantic Canada","year":2004,"lang":"en","type":"report","venue":"","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Digital elevation model; Elevation (ballistics); Geology; Geography; Computer science; Remote sensing; Mathematics; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001496195,0.0005299053,0.0003230448,0.00136707,0.0009030431,0.00116283,0.001216257,0.0003762934,0.008914829],"category_scores_gemma":[0.001065567,0.0003462252,0.0004400952,0.005798603,0.0002657989,0.0005499327,0.0004397622,0.0005785324,0.002971225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01122496,"about_ca_system_score_gemma":0.02657438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915504,"about_ca_topic_score_gemma":0.9939533,"domain_scores_codex":[0.9998179,0.000007629841,0.000009184837,0.00003057629,0.00009318766,0.00004149992],"domain_scores_gemma":[0.9993231,0.00003223398,0.00002237549,0.00004384603,0.0005225686,0.00005575261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003427305,0.0002021512,0.09240893,0.0002925215,0.0001798292,0.0003487307,0.0005300918,0.4307695,0.002731179,0.01274332,0.2734424,0.1860086],"study_design_scores_gemma":[0.0002814248,0.00002254319,0.1364131,0.0002126244,0.0001762567,0.0001353536,0.001063634,0.5409467,0.004096367,0.005292379,0.3111672,0.0001923988],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1616082,0.0006069634,0.0313524,0.00151716,0.0002677132,0.0003438926,0.7275838,0.006901848,0.06981809],"genre_scores_gemma":[0.5432273,0.001831191,0.05824357,0.0001674431,0.00003773292,0.0003661861,0.3528059,0.0008373032,0.04248327],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01122496,"threshold_uncertainty_score":0.08144313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04411147106710684,"score_gpt":0.1992037231707938,"score_spread":0.1550922521036869,"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."}}