{"id":"W2912975903","doi":"10.1007/978-3-030-06143-2_12","title":"Comparison of Dissolution Kinetics of Nonmetallic Inclusions in Steelmaking Slag","year":2019,"lang":"en","type":"book-chapter","venue":"The minerals, metals & materials series","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Dissolution; Steelmaking; Materials science; Slag (welding); Clogging; Metallurgy; Oxide; Confocal laser scanning microscopy; Ceramic; Mineralogy; Chemical engineering; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004678705,0.0006105471,0.001972531,0.0002286659,0.00004591163,0.00005028038,0.0005396503,0.0004328163,0.0009725832],"category_scores_gemma":[0.00002527912,0.0004587105,0.0002399256,0.0001100236,0.0002326606,0.0001810398,0.0003487848,0.0002838342,0.00004003372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006447253,"about_ca_system_score_gemma":0.00002905109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006298652,"about_ca_topic_score_gemma":0.0003049894,"domain_scores_codex":[0.9970853,0.00008246616,0.001691428,0.0003253798,0.000458224,0.0003571641],"domain_scores_gemma":[0.9982532,0.0001404822,0.0007408442,0.0006899236,0.0001207154,0.00005487251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007975636,0.00006346063,0.000003611976,0.001733591,0.0002713052,0.000004008909,0.0002687066,0.01766134,0.8642933,0.1154132,0.00003843691,0.000169214],"study_design_scores_gemma":[0.003604286,0.001827175,0.001430277,0.006854959,0.003826982,0.0001173664,0.0006438804,0.0604209,0.4459818,0.08516715,0.3834956,0.006629644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7272851,0.01349093,0.004125158,0.0001065282,0.004013686,0.002434833,0.00133149,0.0003051115,0.2469071],"genre_scores_gemma":[0.9518049,0.0009397945,0.0003440709,0.00001061139,0.0001321692,0.00001837999,0.0002012092,0.0001508832,0.04639792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4183115,"threshold_uncertainty_score":0.9999406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02301962984542534,"score_gpt":0.254229629737605,"score_spread":0.2312099998921797,"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."}}