{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006733638,0.00009619544,0.0001903786,0.00001781213,0.00004336286,0.00001718604,0.0000700439,0.000074678,0.0006133837],"category_scores_gemma":[0.00007724466,0.00006338613,0.00003707195,0.0000651662,0.00002033458,0.00007072894,0.000007125104,0.00006958022,0.00001653852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002315304,"about_ca_system_score_gemma":0.001382317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9518194,"about_ca_topic_score_gemma":0.9816613,"domain_scores_codex":[0.9990237,0.000003193977,0.0002202908,0.0001347073,0.0004889311,0.0001291392],"domain_scores_gemma":[0.9996107,0.00002409558,0.0001203606,0.0000712505,0.0001355133,0.00003811727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002227873,0.00002215909,0.5493669,0.0002553638,0.00009550104,0.0000151887,0.00003813961,0.3367884,9.968142e-7,0.000157268,0.05336216,0.05987569],"study_design_scores_gemma":[0.0006014268,0.0005423779,0.597279,0.0002567674,0.0001529209,0.00003787217,0.0004597095,0.1853717,0.00001759295,0.01190518,0.2019235,0.001451945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07446104,0.0005527143,0.001443341,0.0004069206,0.000546787,0.0002279854,0.0003732629,0.00002884728,0.9219591],"genre_scores_gemma":[0.9935886,0.0004118316,0.00009571643,0.00003665566,0.0000618993,4.0869e-7,0.001332458,0.000001203495,0.004471172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9191276,"threshold_uncertainty_score":0.6716121,"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."}}