{"id":"W4313506081","doi":"10.1007/978-3-031-17425-4_59","title":"Development of LiMCA (Liquid Metal Cleanliness Analyzer) Since Its Invention to Date","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Non-metallic inclusions; Metallurgy; Liquid steel; Spectrum analyzer; Materials science; Liquid metal; Aluminium; Inclusion (mineral); Metal; Engineering; Mineralogy; Chemistry; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007518421,0.0009963703,0.0005502682,0.002051685,0.0004155656,0.00178807,0.001293047,0.001104289,0.01062246],"category_scores_gemma":[0.0006315807,0.0006086697,0.0005399223,0.001835783,0.0006631561,0.002503511,0.001028836,0.001456437,0.009008808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085268,"about_ca_system_score_gemma":0.001609626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001938124,"about_ca_topic_score_gemma":0.003834694,"domain_scores_codex":[0.9992929,0.00004277956,0.00002326639,0.0002202188,0.0003780127,0.00004289604],"domain_scores_gemma":[0.9996544,0.00007362515,0.00002537615,0.00003420565,0.0001910527,0.0000213567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009377904,0.00009206382,0.0007374626,0.001011622,0.00002590131,0.0002707434,0.0001785473,0.0009216885,0.0774377,0.04760195,0.05571428,0.8159143],"study_design_scores_gemma":[0.000004609809,0.00005264489,0.0005223389,0.00009620003,0.00001727672,0.0005240164,0.00001994181,0.0009960684,0.06771238,0.002222618,0.9278108,0.00002104468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0175203,0.1092212,0.4225959,0.003732257,0.00385225,0.0004159086,0.002631226,0.008148951,0.431882],"genre_scores_gemma":[0.04603824,0.06135869,0.2623347,0.003112938,0.000698716,0.0003710506,0.002673612,0.001340549,0.6220716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01062246,"threshold_uncertainty_score":0.03553563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0513426987535516,"score_gpt":0.2717295569205562,"score_spread":0.2203868581670046,"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."}}