{"id":"W4249528213","doi":"10.5194/cpd-9-3239-2013","title":"Assessing the impact of Laurentide Ice-Sheet topography on glacial climate","year":2013,"lang":"en","type":"preprint","venue":"","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"","keywords":"Ice sheet; Geology; Last Glacial Maximum; Climatology; Ice-sheet model; Deglaciation; Cryosphere; Greenland ice sheet; Sea ice; Glacial period; Northern Hemisphere; Climate model; Ice stream; Atmospheric sciences; Climate change; Oceanography; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005164915,0.000529176,0.0003175978,0.0002757428,0.0004021485,0.0008452881,0.0005858871,0.0006356506,0.001271071],"category_scores_gemma":[0.001535759,0.000296488,0.000582985,0.0002195228,0.000377538,0.0004743216,0.0004313788,0.0005209059,0.0001589749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009095576,"about_ca_system_score_gemma":0.0008506062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05448179,"about_ca_topic_score_gemma":0.05775731,"domain_scores_codex":[0.9998682,0.00003641329,0.000008370426,0.00003611446,0.0000201884,0.00003077419],"domain_scores_gemma":[0.9995932,0.0001526338,0.00006596492,0.00005076262,0.00006212062,0.00007527636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003588815,0.0001777874,0.1522454,0.00006389178,0.0002887153,0.0002535502,0.0001062873,0.8339756,0.007275156,0.0006629988,0.0006189708,0.003972983],"study_design_scores_gemma":[0.0001151242,0.0002605108,0.14017,0.0000426295,0.0001197273,0.00006422232,0.0001709567,0.8530941,0.004475924,0.0003771005,0.00106162,0.00004809158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974619,0.00004330651,0.0003728959,0.00007248561,0.00001090053,0.000008031751,0.0004280244,0.00002873714,0.001573614],"genre_scores_gemma":[0.9989594,0.00002150739,0.000378631,0.00002413446,0.000003590087,0.000006804138,0.0004263047,0.00001231624,0.0001672978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05448179,"threshold_uncertainty_score":0.1083294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03954286357806079,"score_gpt":0.3351042530377778,"score_spread":0.295561389459717,"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."}}