{"id":"W1984905914","doi":"10.1016/s1006-706x(10)60064-7","title":"A brief overview of low CO2 emission technologies for iron and steel making","year":2010,"lang":"en","type":"article","venue":"Journal of Iron and Steel Research International","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":254,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Greenhouse gas; Renewable energy; Energy consumption; Steelmaking; Coke; Engineering; Environmental science; Turbine; Consumption (sociology); Natural resource economics; Metallurgy; Waste management; Materials science; Mechanical engineering; 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":[0.000247687,0.0007532854,0.0006936901,0.001362133,0.0006139696,0.001290682,0.0006252821,0.001523262,0.008033321],"category_scores_gemma":[0.000223401,0.0004367684,0.0006050011,0.001461663,0.0001928804,0.001666617,0.0004260227,0.0008838472,0.003336525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006608205,"about_ca_system_score_gemma":0.0005159196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001121773,"about_ca_topic_score_gemma":0.002826775,"domain_scores_codex":[0.9998078,0.00002135965,0.00001894539,0.00003703231,0.00008670588,0.00002828388],"domain_scores_gemma":[0.9999083,0.00003966186,0.00001229356,0.000007454154,0.00002456852,0.000007661295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002077105,0.0003454954,0.0004343019,0.008774609,0.00006805965,0.0006937428,0.0001562886,0.004561773,0.07470894,0.04481086,0.03397945,0.8312587],"study_design_scores_gemma":[0.000009647507,0.0003249007,0.001228746,0.0004017804,0.00003445797,0.0008709528,0.00006875068,0.001367516,0.0225617,0.009266011,0.9638263,0.00003934939],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01543564,0.7631235,0.08339346,0.003070211,0.002678918,0.0003955852,0.0008367921,0.0005661894,0.1304998],"genre_scores_gemma":[0.06191682,0.7411231,0.0654901,0.001882464,0.002653599,0.0004218173,0.001172028,0.0001537256,0.1251864],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008033321,"threshold_uncertainty_score":0.02687418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07354080323240386,"score_gpt":0.4118825003969382,"score_spread":0.3383416971645344,"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."}}