{"id":"W2892245025","doi":"10.1007/978-3-319-95022-8_65","title":"On the Evaporation of S from Liquid Fe–C–S Alloy","year":2018,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Alloy; Saturation (graph theory); Order (exchange); Thermodynamics; Evaporation; Adsorption; Materials science; Chemistry; Metallurgy; Analytical Chemistry (journal); Physics; Mathematics; Physical chemistry; Chromatography; Combinatorics; Economics","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":[0.00009192558,0.0003568228,0.0006674554,0.0003094843,0.0004946553,0.0006058192,0.0003286488,0.0004342005,0.004276661],"category_scores_gemma":[0.0001445222,0.0002609561,0.0005095102,0.0003992232,0.000643681,0.00102235,0.000733933,0.0007026952,0.001351742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005458424,"about_ca_system_score_gemma":0.0002851996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008972223,"about_ca_topic_score_gemma":0.001683008,"domain_scores_codex":[0.9999146,0.000007231064,0.000003924879,0.00001504164,0.00004212108,0.00001710573],"domain_scores_gemma":[0.9999769,0.00001236503,0.00000167315,0.000002785052,0.00000492254,0.000001423767],"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":[0.0003720236,0.0001131624,0.0004419795,0.003007769,0.00008022713,0.002096568,0.001051462,0.009656002,0.3901094,0.3030282,0.03703355,0.2530097],"study_design_scores_gemma":[0.00003875027,0.0002953741,0.001558805,0.0003738617,0.00003095504,0.001961697,0.0002363658,0.01036777,0.3895355,0.07652429,0.5189971,0.00007960902],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2469153,0.263097,0.05269247,0.004511163,0.003981756,0.0001530443,0.0004445307,0.0004857511,0.427719],"genre_scores_gemma":[0.4463115,0.1098332,0.01012533,0.001017533,0.0007769804,0.00009779989,0.0004901176,0.0004368373,0.4309106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004276661,"threshold_uncertainty_score":0.01430684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01760611637515512,"score_gpt":0.2060633830800443,"score_spread":0.1884572667048892,"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."}}