{"id":"W2554745319","doi":"10.1016/j.quascirev.2016.11.008","title":"Uncovering the hidden part of a large ice stream of the Laurentide Ice Sheet, northern Ontario, Canada","year":2016,"lang":"en","type":"article","venue":"Quaternary Science Reviews","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Geological Survey of Canada","funders":"","keywords":"Geology; Ice sheet; Ice stream; Glacial period; Bedrock; Outcrop; Antarctic sea ice; Physical geography; Landform; Geomorphology; Cryosphere; Oceanography; Sea ice; Geography","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":[0.0003393799,0.0002363185,0.000211806,0.001239998,0.002968134,0.002018627,0.0005673151,0.0004067712,0.002243816],"category_scores_gemma":[0.001284087,0.0001733692,0.0001233499,0.002773224,0.001411339,0.0006843784,0.0006528022,0.0005057132,0.0002043654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02261058,"about_ca_system_score_gemma":0.04416808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993942,"about_ca_topic_score_gemma":0.9988406,"domain_scores_codex":[0.9998021,0.000008683294,0.000006781841,0.00003358313,0.00008328624,0.00006565308],"domain_scores_gemma":[0.9988258,0.00009811857,0.0001450026,0.00004124952,0.0007634959,0.0001262323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002943139,0.00005856522,0.6004075,0.001293616,0.0002061858,0.001460527,0.03436062,0.003522454,0.0139838,0.005998889,0.04531999,0.2930935],"study_design_scores_gemma":[0.000007468049,0.00001151985,0.9133295,0.0003709978,0.00003758014,0.00009425803,0.01162463,0.0007501863,0.001113256,0.0004562089,0.07217827,0.00002608027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9030101,0.03016421,0.001411223,0.006242089,0.0001944345,0.00008364437,0.004900325,0.00007711355,0.05391695],"genre_scores_gemma":[0.9610908,0.0187759,0.001627712,0.0006561038,0.00004439439,0.00002138428,0.001608216,0.00005074566,0.0161248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02261058,"threshold_uncertainty_score":0.164052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02380078423725825,"score_gpt":0.2279926787677689,"score_spread":0.2041918945305107,"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."}}