{"id":"W4410620279","doi":"10.1016/b978-0-323-85936-3.00025-9","title":"Kinetics of Assimilation of Additions in Liquid Metals","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Assimilation (phonology); Kinetics; Chemistry; Environmental science; Environmental chemistry; Metallurgy; Materials science; Physics; Philosophy; Linguistics","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":[0.00016146,0.0004800592,0.0005010769,0.000258093,0.0001825986,0.0007240681,0.0006355016,0.0003484084,0.008912634],"category_scores_gemma":[0.0002785704,0.0003520541,0.0003665754,0.0003478737,0.0002653704,0.001367024,0.0003005639,0.0009124863,0.003460655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008215909,"about_ca_system_score_gemma":0.0003421411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001579437,"about_ca_topic_score_gemma":0.001622304,"domain_scores_codex":[0.9998966,0.00000927281,0.000005347741,0.00002298554,0.00004453445,0.00002110132],"domain_scores_gemma":[0.9999074,0.00004960948,0.00001141893,0.00000839698,0.00001717246,0.000006036299],"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":[0.0005170849,0.0002477021,0.0006826322,0.001295878,0.00006205069,0.0003405121,0.0002431211,0.01286453,0.8021033,0.03504371,0.005763388,0.140836],"study_design_scores_gemma":[0.000017886,0.0002263832,0.001677345,0.00007387991,0.00002516477,0.0003305089,0.00009502087,0.02556027,0.9076975,0.009375518,0.05488051,0.00004004542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5434681,0.06701946,0.1453055,0.001719753,0.001232934,0.0002591465,0.003204158,0.001439131,0.2363517],"genre_scores_gemma":[0.7154906,0.01995157,0.01323076,0.0002287792,0.0001099203,0.00008606946,0.001026511,0.0002325997,0.2496432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008912634,"threshold_uncertainty_score":0.02981567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092552890654148,"score_gpt":0.2182234605279364,"score_spread":0.2072979316213949,"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."}}