{"id":"W2093282396","doi":"10.2355/isijinternational.52.52","title":"Inclusion Population Evolution in Ti-alloyed Al-killed Steel during Secondary Steelmaking Process","year":2012,"lang":"en","type":"article","venue":"ISIJ International","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Tata Steel","keywords":"Steelmaking; Materials science; Nucleation; Metallurgy; Non-metallic inclusions; Particle-size distribution; Population; Continuous casting; Inclusion (mineral); Particle size; Thermodynamics; Chemical engineering; Physics; 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":[0.0003076272,0.0002222877,0.0003651537,0.001262148,0.0003324353,0.0005573672,0.0004033287,0.0003179644,0.0004707757],"category_scores_gemma":[0.0007680935,0.0001534354,0.0003700333,0.000671251,0.0002790656,0.0003341171,0.0003256953,0.0002207004,0.0002786859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006431098,"about_ca_system_score_gemma":0.0002538747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006322124,"about_ca_topic_score_gemma":0.009004272,"domain_scores_codex":[0.9996299,0.000022023,0.0000141108,0.0001535135,0.0001385487,0.00004199735],"domain_scores_gemma":[0.9994121,0.0001009021,0.0001095628,0.00004037442,0.0002980553,0.00003892261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004757759,0.0001261594,0.4731232,0.0001554002,0.000102702,0.0007151093,0.001314566,0.01465947,0.4726517,0.0003278439,0.0005824,0.03576552],"study_design_scores_gemma":[0.000007349724,0.0003112526,0.7932762,0.00001059003,0.00005094679,0.0005695984,0.0008210282,0.05400352,0.147709,0.0003255882,0.002868746,0.00004615525],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961774,0.00006022963,0.002844334,0.00000738368,0.000002439039,0.000007755243,0.0005208382,0.00005689595,0.0003226479],"genre_scores_gemma":[0.9935001,0.00006060125,0.00384326,0.000007767123,0.000002709903,0.00001209854,0.001855207,0.00003101325,0.0006872955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006322124,"threshold_uncertainty_score":0.01257062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005470960516396652,"score_gpt":0.2413432373203092,"score_spread":0.2358722768039126,"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."}}