{"id":"W6989279970","doi":"","title":"Application of CRISSP-2D finite element modelling in predicting ice formation processes upstream of the Jenpeg Generating Station","year":2013,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridging (networking); Upstream (networking); Front (military); Ice wedge; Numerical models; Hydrology (agriculture)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002633003,0.0005118057,0.0002363194,0.000298491,0.0003611591,0.0006065273,0.0007461318,0.0005016726,0.001072215],"category_scores_gemma":[0.0005500543,0.000286377,0.00034322,0.000319664,0.000252363,0.0002231813,0.0003898067,0.0003402227,0.0002067268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583757,"about_ca_system_score_gemma":0.002505382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3460172,"about_ca_topic_score_gemma":0.3491278,"domain_scores_codex":[0.9999154,0.0000200608,0.00000415298,0.00001941764,0.00002451749,0.00001638474],"domain_scores_gemma":[0.9998604,0.00003512954,0.00001384805,0.00001303956,0.00006005037,0.00001752958],"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":[0.00002699151,0.00003093771,0.01120858,0.00001136419,0.00001325713,0.00006015723,0.00003237474,0.9826344,0.001481747,0.0002522431,0.0002044147,0.004043521],"study_design_scores_gemma":[0.000009068223,0.0000206555,0.003179336,0.000004122774,0.000004694175,0.000008306453,0.00004574256,0.9955315,0.0005799058,0.00005453928,0.0005571379,0.000005047616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706359,0.0001071639,0.01612188,0.0002511721,0.00002628951,0.00008820267,0.001181427,0.00027663,0.01131131],"genre_scores_gemma":[0.9825035,0.00009385892,0.01412008,0.00003049714,0.00000382334,0.00003787642,0.0008240874,0.00002922077,0.00235698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6539828,"threshold_uncertainty_score":0.6880063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079601388272284,"score_gpt":0.1833380826373557,"score_spread":0.1725420687546328,"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."}}