{"id":"W2079409862","doi":"10.1179/1879139514y.0000000176","title":"Influence of thermal diffusion on decarburisation of iron–chromium alloy droplets by oxygen–argon gas mixtures","year":2014,"lang":"en","type":"article","venue":"Canadian Metallurgical Quarterly","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decarburization; Alloy; Argon; Mass transfer; Diffusion; Chromium; Oxygen; Metallurgy; Materials science; Thermodynamics; Refining (metallurgy); Chemistry","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":[0.0002058996,0.0002751288,0.0004278594,0.0001706173,0.000253554,0.0004627407,0.0003281229,0.0002269553,0.00124585],"category_scores_gemma":[0.0005513096,0.0001819617,0.0002206876,0.000148935,0.0003799191,0.00042558,0.000304357,0.0004454358,0.0002322896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005134242,"about_ca_system_score_gemma":0.000256118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003658911,"about_ca_topic_score_gemma":0.005608826,"domain_scores_codex":[0.9997852,0.00002500304,0.00001354549,0.00005509644,0.00007452985,0.00004663616],"domain_scores_gemma":[0.9997705,0.0001203814,0.00003799611,0.00001713914,0.00003953083,0.00001446361],"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":[0.000250972,0.00001162341,0.0004937163,0.00007164253,0.00000796774,0.000101743,0.0001250514,0.0004332913,0.9963833,0.0000992209,0.00002390576,0.001997544],"study_design_scores_gemma":[0.00000816164,0.0001091826,0.001296688,0.00000238924,0.000005632732,0.00004140351,0.00003981722,0.001902844,0.9962165,0.00001653476,0.0003557429,0.000005049674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972318,0.0004341659,0.0009961865,0.00003580736,0.000008205206,0.00001256712,0.00005947017,0.00002776177,0.001194045],"genre_scores_gemma":[0.9985285,0.0002536102,0.0006910844,0.000009278693,0.000002307611,0.000005280965,0.00004263651,0.0000148785,0.0004524333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003658911,"threshold_uncertainty_score":0.007275224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002969733282763188,"score_gpt":0.1738706427076933,"score_spread":0.1709009094249302,"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."}}