{"id":"W2012895483","doi":"10.1139/l00-081","title":"Design relations for predicting surface-ice clearing capacity of open channels","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clearing; Channel (broadcasting); Environmental science; Range (aeronautics); Flux (metallurgy); Mechanics; Current (fluid); Meteorology; Geology; Atmospheric sciences; Materials science; Engineering; Physics; Aerospace engineering; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00132573,0.0005715801,0.0003517723,0.0007078454,0.0003371088,0.0007538865,0.0004667422,0.0006487305,0.002107388],"category_scores_gemma":[0.003715721,0.0003231649,0.0003357052,0.0004363635,0.0005606934,0.0006120706,0.0003108093,0.000280513,0.0002487715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177684,"about_ca_system_score_gemma":0.0009426214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005880673,"about_ca_topic_score_gemma":0.007077829,"domain_scores_codex":[0.9995379,0.0001232272,0.00002536901,0.00006504004,0.0001599386,0.00008851825],"domain_scores_gemma":[0.9978505,0.00135348,0.0003668487,0.00008930651,0.0002762151,0.00006364458],"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":[0.00001865306,0.00001250834,0.00132204,0.00001471264,0.000003103102,0.00001163779,0.00001341895,0.9938461,0.0009709637,0.000561206,0.00005225615,0.003173382],"study_design_scores_gemma":[0.000008688906,0.00006277367,0.001151923,0.000005676612,0.000006679008,0.0000115704,0.00001229101,0.9964539,0.001172159,0.000849689,0.0002574906,0.00000719721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.446218,0.0003401298,0.5441081,0.00007935977,0.00001855188,0.0001790233,0.000540705,0.000777102,0.007739],"genre_scores_gemma":[0.9864499,0.00006516199,0.01264833,0.000007909382,0.000003166906,0.00009958252,0.0001315644,0.00001871623,0.0005757349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005880673,"threshold_uncertainty_score":0.01169288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02402848003242348,"score_gpt":0.195772068764016,"score_spread":0.1717435887315926,"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."}}