{"id":"W2034693675","doi":"10.1139/e99-113","title":"Glaciological reconstruction of the Laurentide Ice Sheet: physical processes and modelling challenges","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Earth Sciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":209,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Ice sheet; Geology; Ice-sheet model; Ice stream; Glacial period; Antarctic sea ice; Glacier morphology; Ice shelf; Pleistocene; Glacier; Paleoclimatology; Geomorphology; Paleontology; Cryosphere; Geophysics; Oceanography; Sea ice; Climate change","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005391271,0.00005845089,0.0001411309,0.00008921854,0.0003332034,0.00002478421,0.0002688066,0.00005158405,0.0007566813],"category_scores_gemma":[0.00009615178,0.00003308656,0.0000349759,0.0002266703,0.001512991,0.0002044781,0.000002535088,0.0001882543,0.000008932627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":1.438559e-7,"about_ca_system_score_gemma":0.0005492704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007643622,"about_ca_topic_score_gemma":0.1324207,"domain_scores_codex":[0.9992375,0.0001213573,0.0001530395,0.0001130115,0.0001397903,0.0002352504],"domain_scores_gemma":[0.9994085,0.0001944033,0.00008598807,0.00005292003,0.00007705582,0.0001811096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000840836,0.000002408496,0.9866339,0.00001227845,0.000005392566,0.000006291219,0.0003699342,0.007056439,0.000001218318,0.0001100595,0.000002832246,0.005790834],"study_design_scores_gemma":[0.0001361498,0.0003294629,0.9817418,0.0000779181,0.00001334546,0.001035842,0.0006736049,0.008322802,0.00008737515,0.006904894,0.0005901136,0.0000866502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875935,0.00517575,0.000004256261,0.001161809,0.0001262861,0.0000364928,0.000004774383,0.000001363482,0.005895717],"genre_scores_gemma":[0.9989744,0.0006515895,0.0002307043,0.00003588933,0.00005677626,8.73993e-8,2.677286e-7,5.119206e-7,0.00004979385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1316564,"threshold_uncertainty_score":0.8834103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04774082897130159,"score_gpt":0.2358027079290202,"score_spread":0.1880618789577186,"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."}}