{"id":"W4319066154","doi":"10.1016/j.coldregions.2023.103796","title":"The simulation of ice jam profiles in multi-channel systems using a one-dimensional network model","year":2023,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Breakup; Channel (broadcasting); Geology; Series (stratigraphy); Hydrology (agriculture); Mechanics; Geotechnical engineering; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005791264,0.0006993445,0.0009261941,0.0007763085,0.001038105,0.001227446,0.001172174,0.002102813,0.002533455],"category_scores_gemma":[0.003096818,0.0008091431,0.0007572655,0.000726704,0.00121271,0.001538542,0.001011506,0.001322691,0.0001766619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002016462,"about_ca_system_score_gemma":0.001300915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06165895,"about_ca_topic_score_gemma":0.0280092,"domain_scores_codex":[0.9997483,0.00007799892,0.00001122844,0.00004280045,0.00003154054,0.00008809999],"domain_scores_gemma":[0.9973884,0.001819014,0.0002224423,0.0000709872,0.0002129721,0.0002861482],"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":[0.00001702924,0.0000153135,0.0003589376,0.000003555186,0.000004443842,0.00001560557,0.000008649369,0.9989599,0.00007177486,0.0003182708,0.00003855356,0.0001879489],"study_design_scores_gemma":[0.000003824858,0.000004257832,0.00006019966,5.666523e-7,0.000001393865,0.000001306398,0.000005057203,0.9998077,0.00002564896,0.00007589925,0.0000127135,0.000001613202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.936675,0.0002704518,0.05023301,0.0008405288,0.00009476744,0.00007876182,0.0005175387,0.0003306189,0.01095935],"genre_scores_gemma":[0.9949504,0.00007254567,0.003096159,0.00004006441,0.00001257265,0.0000299082,0.0001100419,0.00002367134,0.001664628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06165895,"threshold_uncertainty_score":0.1226001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05042440784164114,"score_gpt":0.2630858754918109,"score_spread":0.2126614676501698,"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."}}