{"id":"W2119668281","doi":"10.3189/172756405781813636","title":"Numerical modeling investigations of the subglacial conditions of the southern Laurentide ice sheet","year":2005,"lang":"en","type":"article","venue":"Annals of Glaciology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Science Foundation","keywords":"Geology; Ice sheet; Ice stream; Geomorphology; Landform; Permafrost; Ice divide; Antarctic sea ice; Glaciology; Seabed gouging by ice; Arctic ice pack; Ice shelf; Geophysics; Cryosphere; Climatology; Sea ice; Paleontology; Oceanography; Stratigraphy; Tectonics","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":[0.0002721442,0.0004352421,0.000410862,0.00045561,0.0005592649,0.0008325125,0.0005423061,0.0008067891,0.001459013],"category_scores_gemma":[0.0009309172,0.0002653264,0.0004803586,0.0003347448,0.0007207401,0.0003435699,0.000431272,0.0003999847,0.0001099472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001378424,"about_ca_system_score_gemma":0.0009044188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07834762,"about_ca_topic_score_gemma":0.04478981,"domain_scores_codex":[0.9999136,0.00002352283,0.000005505437,0.00001474059,0.0000152736,0.00002743488],"domain_scores_gemma":[0.9996145,0.0001996084,0.00006498041,0.00002053552,0.00004892935,0.00005140247],"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":[0.00005889925,0.00005027754,0.009215146,0.0000183238,0.00001873167,0.00009174817,0.00005154829,0.9878192,0.001045725,0.000411386,0.0001093531,0.001109677],"study_design_scores_gemma":[0.00002561957,0.00004087808,0.004165324,0.000004917129,0.000009358921,0.00001019201,0.0000515963,0.9951426,0.0002768772,0.0001146571,0.0001517768,0.0000062265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963772,0.0000548166,0.000840886,0.00007693026,0.000008746541,0.00001036858,0.00015371,0.00003519146,0.00244208],"genre_scores_gemma":[0.9987459,0.0000386591,0.0006476039,0.0000112663,0.000004668568,0.00001194289,0.0001097094,0.000006085257,0.0004240858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07834762,"threshold_uncertainty_score":0.1557832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06380024423428565,"score_gpt":0.3009083254619799,"score_spread":0.2371080812276943,"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."}}