{"id":"W2561466575","doi":"10.2355/isijinternational.isijint-2016-546","title":"Improved Slags for ESR Processing of High-Carbon Chromium Bearing Steel","year":2016,"lang":"en","type":"article","venue":"ISIJ International","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; University of Toronto","keywords":"Slag (welding); Materials science; Metallurgy; Chromium; Viscosity; Carbon fibers; High carbon; Bearing (navigation); Composite material; Alloy","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":[0.0003376155,0.0003536681,0.0002822245,0.0004120714,0.0001663561,0.0003036672,0.0001943501,0.0003704258,0.0006761121],"category_scores_gemma":[0.0002711831,0.0001439235,0.0003611596,0.0002794093,0.0001800438,0.0002184278,0.0001693352,0.0003571156,0.0002808754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002094473,"about_ca_system_score_gemma":0.0001992213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005104554,"about_ca_topic_score_gemma":0.002130184,"domain_scores_codex":[0.9997206,0.00004686024,0.00002403955,0.00003334291,0.0001352678,0.00003983932],"domain_scores_gemma":[0.9998497,0.0000203369,0.00004993632,0.00001779696,0.00004026457,0.00002188679],"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":[0.00003475395,0.0000137854,0.00005928908,0.00004115919,0.000001718142,0.00003497192,0.000009669044,0.0002550868,0.9985059,0.0000380065,0.00001053857,0.000995093],"study_design_scores_gemma":[0.00001150143,0.0003072473,0.002066842,0.000006010254,0.000007361797,0.00006627671,0.00001695198,0.0009800371,0.9955466,0.00002154423,0.0009639822,0.000005661317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875233,0.0005997842,0.01065509,0.00002592094,0.00002749695,0.00005588287,0.0001110584,0.0001078648,0.000893668],"genre_scores_gemma":[0.9870222,0.0002510627,0.0115932,0.00001459347,0.000006189996,0.00002032667,0.0001180817,0.00003968383,0.0009345605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006761121,"threshold_uncertainty_score":0.002261877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00810627047823335,"score_gpt":0.2195312718193901,"score_spread":0.2114250013411568,"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."}}