{"id":"W2900683509","doi":"10.1002/srin.201800361","title":"Simulation of Runout Table Cooling","year":2018,"lang":"en","type":"article","venue":"steel research international","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Boiling; Leidenfrost effect; Materials science; Microstructure; Nucleate boiling; Heat transfer; Nucleation; Table (database); Metallurgy; Austenite; Martensite; Mechanical engineering; Mechanics; Thermodynamics; Heat transfer coefficient; Engineering; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003631901,0.00005620686,0.00007552327,0.0001293967,0.00005377545,0.00002936331,0.0002538708,0.00005130835,0.001036723],"category_scores_gemma":[0.0002924381,0.00005023772,0.0000247307,0.0001339127,0.00009689725,0.0001376536,0.0000780321,0.0001665164,0.0001191761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006244866,"about_ca_system_score_gemma":0.00002627855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002050033,"about_ca_topic_score_gemma":0.000008994698,"domain_scores_codex":[0.9990674,0.00001849269,0.0001726013,0.0001033771,0.0004324233,0.0002057322],"domain_scores_gemma":[0.9991128,0.0001184845,0.00001507434,0.0001266737,0.0005774117,0.00004952595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002304305,0.00004204017,0.0001653409,0.0001087308,0.0001504079,0.000004109644,0.0006671494,0.1724602,0.7773599,0.0129484,0.01044289,0.02542041],"study_design_scores_gemma":[0.0003350338,0.0001134773,0.0002454309,0.00006919655,0.000002370764,0.000001500276,0.00009727333,0.6270115,0.222592,0.001885368,0.1475437,0.0001031063],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7063751,0.0005186004,0.03570375,0.0002089306,0.003224421,0.0004884565,0.0001065856,0.0002362692,0.2531379],"genre_scores_gemma":[0.9973332,0.0000185027,0.0004962707,0.00001677043,0.0004660867,0.000004548247,0.000009654919,0.00001386094,0.001641153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5547678,"threshold_uncertainty_score":0.9998764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06504228959379228,"score_gpt":0.359075995065261,"score_spread":0.2940337054714687,"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."}}