{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003479752,0.0006905789,0.0009904762,0.0004936163,0.0006412926,0.0013321,0.001247491,0.001908778,0.00979335],"category_scores_gemma":[0.001525957,0.0003433507,0.001044457,0.0005170777,0.0005883457,0.0007682867,0.000898627,0.0008022682,0.0008052955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007852075,"about_ca_system_score_gemma":0.001678567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01131394,"about_ca_topic_score_gemma":0.007575524,"domain_scores_codex":[0.9997441,0.00005657594,0.00001559398,0.00004767099,0.00006710024,0.00006886556],"domain_scores_gemma":[0.9994197,0.0003194497,0.00004338754,0.00003667865,0.000123734,0.00005699541],"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":[0.00008006227,0.00003722921,0.001388829,0.0001178172,0.00002191086,0.0001306125,0.00006405732,0.9878098,0.001805514,0.003494724,0.001066356,0.003983157],"study_design_scores_gemma":[0.0000245445,0.00003296315,0.0004030852,0.00002012505,0.00001021026,0.00002347007,0.00003429823,0.9936591,0.001096096,0.0008853873,0.003800452,0.00001036763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6088544,0.002527854,0.2276788,0.001125589,0.0006366408,0.0005450083,0.008739802,0.003294326,0.1465976],"genre_scores_gemma":[0.9478622,0.001049119,0.02909979,0.0001392609,0.00003801435,0.000521015,0.004220465,0.0003227715,0.01674739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01131394,"threshold_uncertainty_score":0.03276199,"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."}}