{"id":"W7064267243","doi":"","title":"On the application of physical and mathematical modeling to predict tundish performance","year":2009,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Tundish; Ladle; Continuous casting; Water model; Slag (welding); Flow (mathematics); Casting; Physical modelling; Mathematical model","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004619417,0.0007215397,0.0005518361,0.0006640868,0.000420384,0.001084503,0.0005682652,0.001143194,0.001252271],"category_scores_gemma":[0.001276907,0.0003377847,0.0008367977,0.0004620265,0.0004238536,0.0007046037,0.0003962712,0.0005050855,0.0003308812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008350696,"about_ca_system_score_gemma":0.0007060021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.013287,"about_ca_topic_score_gemma":0.004973415,"domain_scores_codex":[0.9998239,0.00004009799,0.00001161345,0.00003628875,0.00006284958,0.00002544252],"domain_scores_gemma":[0.9994717,0.0003320391,0.00006675724,0.00004006884,0.00007377573,0.00001572655],"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":[0.00001586079,0.00002694067,0.0009314289,0.00001522617,0.00000578245,0.00002353562,0.000007669858,0.9930341,0.002313868,0.000343429,0.00003814325,0.003244101],"study_design_scores_gemma":[9.205455e-7,0.00001340704,0.0001839123,0.000001233656,0.000001476827,0.000002667663,0.000002741919,0.9990095,0.0006517975,0.00006873861,0.00006158169,0.000001943446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7661674,0.0006475038,0.2216428,0.0003555655,0.0000551959,0.0001565798,0.0005326539,0.001050742,0.009391674],"genre_scores_gemma":[0.9882419,0.0002094869,0.009773666,0.0000151338,0.000005547291,0.00005271617,0.0001218408,0.00002680785,0.001552959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.013287,"threshold_uncertainty_score":0.02641934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008819671133672718,"score_gpt":0.2451193720852566,"score_spread":0.2362997009515839,"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."}}