{"id":"W2063610829","doi":"10.1117/12.417390","title":"<title>Near-IR optical process sensor for electric arc furnace pollution control and energy efficiency</title>","year":2001,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Electric arc furnace; Electric arc; Calibration; Exhaust gas; Analytical Chemistry (journal); Materials science; Methane; Process control; Chemistry; Process (computing); Metallurgy; Electrode; Physics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001905883,0.0001923805,0.0002273704,0.00004893644,0.00009959072,0.00007215449,0.0003429453,0.0001662949,0.0000886514],"category_scores_gemma":[0.0002269992,0.0001683896,0.0002381522,0.0002116496,0.0001334418,0.0001269259,0.0000371627,0.0001661724,0.00000554554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001010336,"about_ca_system_score_gemma":0.00004031381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001618247,"about_ca_topic_score_gemma":9.090105e-8,"domain_scores_codex":[0.9987517,1.108141e-8,0.0003180366,0.0002834088,0.0003243727,0.0003224414],"domain_scores_gemma":[0.999061,0.0000888534,0.0001470186,0.00004691278,0.0005604339,0.00009576481],"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":[0.00006088161,0.00007581233,0.00003186568,0.0001674425,0.0001121115,6.090791e-8,0.00002778008,0.00003987322,0.5744218,0.4213864,0.003152788,0.0005231519],"study_design_scores_gemma":[0.002909365,0.0003863391,0.000326061,0.0002957329,0.0004741708,0.0001027209,0.0004754206,0.3676466,0.4421531,0.005412551,0.1789372,0.0008807821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518185,0.0002461234,0.0006654826,0.001459967,0.00007248188,0.0001993069,0.00004683711,0.00009207514,0.04539923],"genre_scores_gemma":[0.9835379,0.0001782215,0.01335175,0.0001101076,0.0005199763,0.000207502,0.00001155084,0.00005417725,0.002028882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4159738,"threshold_uncertainty_score":0.6866729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006015255561274302,"score_gpt":0.2251982367551494,"score_spread":0.2191829811938751,"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."}}