{"id":"W2994913626","doi":"10.1017/aog.2019.43","title":"Wet subglacial bedforms of the NE Greenland Ice Stream shear margins","year":2019,"lang":"en","type":"article","venue":"Annals of Glaciology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Oregon; National Aeronautics and Space Administration; National Science Foundation","keywords":"Bedform; Geology; Geomorphology; Moraine; Ice stream; Shear (geology); Glacier; Sediment transport; Sediment; Paleontology; Oceanography; Cryosphere; Sea ice","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000568836,0.00009417974,0.00006781046,0.0004747968,0.0002171463,0.0002754799,0.00007286809,0.00005832079,0.0009737163],"category_scores_gemma":[0.0001136597,0.0000584731,0.00004803164,0.0003003963,0.0002567941,0.0001499942,0.0002203842,0.00006309975,0.00009546924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003573217,"about_ca_system_score_gemma":0.0001870824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02299559,"about_ca_topic_score_gemma":0.102355,"domain_scores_codex":[0.9999781,0.000001732749,0.000001383771,0.000005341774,0.000005750328,0.00000775332],"domain_scores_gemma":[0.9999369,0.000007126213,0.00002511333,0.000004729079,0.00001280829,0.00001323836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009013963,0.00001487394,0.9338315,0.0000326574,0.00002675107,0.0003306786,0.001476461,0.000920362,0.04605975,0.0002144806,0.0004027651,0.01659962],"study_design_scores_gemma":[3.847874e-7,0.000003391188,0.9990771,0.000001910495,0.00000109919,0.00003228892,0.0001870245,0.0001119348,0.0003167994,0.00001601078,0.0002515915,6.528149e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988055,0.00003498211,0.00008038211,0.000007653604,8.668068e-7,0.000001672456,0.0001661571,0.000005194635,0.0008975756],"genre_scores_gemma":[0.9995232,0.00002414126,0.00008287727,0.000006762881,9.259189e-7,0.000001463428,0.0001379105,0.000001491741,0.0002212695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02299559,"threshold_uncertainty_score":0.0457235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03553208632506122,"score_gpt":0.2544380968468684,"score_spread":0.2189060105218071,"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."}}