{"id":"W2034547919","doi":"10.4113/jom.2010.1142","title":"Subglacial landforms in northern Manitoba, Canada, based on remote sensing data","year":2010,"lang":"en","type":"article","venue":"Journal of Maps","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Resources Canada; University of Waterloo","keywords":"Drumlin; Moraine; Geology; Landform; Glacier; Glacial landform; Shuttle Radar Topography Mission; Ice sheet; Ice stream; Geomorphology; Digital elevation model; Physical geography; Remote sensing; Geography; Cryosphere; Oceanography; Sea ice","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001190078,0.0004642013,0.000161994,0.002813648,0.001124887,0.0008271813,0.0004367426,0.00012133,0.003345259],"category_scores_gemma":[0.0003010377,0.0001843975,0.0002090002,0.004226732,0.0002740345,0.0001663643,0.0003575297,0.0001733652,0.0005672789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01294044,"about_ca_system_score_gemma":0.01897092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948118,"about_ca_topic_score_gemma":0.998551,"domain_scores_codex":[0.9999008,0.000004010962,0.000005845117,0.00001998181,0.00003676931,0.00003256832],"domain_scores_gemma":[0.999671,0.00001212493,0.00002686549,0.000006956695,0.0002211885,0.00006193272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001603796,0.0000707115,0.9000208,0.0003550883,0.0001163605,0.0006255037,0.002801479,0.001727907,0.005403225,0.0007797208,0.01879726,0.06914161],"study_design_scores_gemma":[0.000009975376,0.000009624997,0.9858038,0.00008090121,0.00002695017,0.00008103302,0.002051481,0.0008292322,0.0002972341,0.00004306748,0.01075469,0.00001186562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9295171,0.001494619,0.0004759269,0.0002993167,0.00002609993,0.0001722909,0.05303228,0.0001303189,0.01485189],"genre_scores_gemma":[0.945929,0.002649809,0.003663847,0.000145631,0.00001007663,0.0001586422,0.03204756,0.00004091544,0.01535453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01294044,"threshold_uncertainty_score":0.09388989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02806558381656953,"score_gpt":0.212273486573287,"score_spread":0.1842079027567174,"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."}}