{"id":"W6991132940","doi":"","title":"Examination of Ice Ridging Methods Using Discrete Particles","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monte Carlo method; Distribution (mathematics); Cover (algebra); Probability distribution; Markov chain Monte Carlo","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":[0.002702103,0.0002746167,0.0006029974,0.0009841842,0.0004723184,0.0007580792,0.000772698,0.0006252492,0.0008871023],"category_scores_gemma":[0.009582814,0.0003540203,0.0004162929,0.0005245421,0.0006165463,0.0007616567,0.0004605365,0.0005025989,0.00009183175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007505039,"about_ca_system_score_gemma":0.0004788093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00735654,"about_ca_topic_score_gemma":0.003425518,"domain_scores_codex":[0.9994783,0.0002075467,0.00003410062,0.00006895731,0.0001725685,0.00003865731],"domain_scores_gemma":[0.9919589,0.006140623,0.000435009,0.0007960839,0.0005313143,0.0001381541],"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":[0.0001409775,0.00008261677,0.006056975,0.0001293839,0.00007120449,0.00009699338,0.0001667317,0.9420038,0.003152222,0.009927377,0.0002023134,0.03796943],"study_design_scores_gemma":[0.00001187214,0.00002985768,0.0006072665,0.000006323894,0.00000783155,0.00002469206,0.00001534938,0.997182,0.001128732,0.0007283692,0.0002498146,0.000007974308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.600638,0.001059419,0.3918739,0.0002423476,0.0000610292,0.0001408595,0.0000953104,0.0004159446,0.005473319],"genre_scores_gemma":[0.9242058,0.0002783475,0.07468836,0.00002336366,0.000008231457,0.00004565569,0.00006551962,0.00004615177,0.0006384577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00735654,"threshold_uncertainty_score":0.01462746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03729697195226203,"score_gpt":0.3090259516266587,"score_spread":0.2717289796743967,"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."}}