{"id":"W4403185151","doi":"10.1007/s40831-024-00940-0","title":"Progress Toward Biocarbon Utilization in Electric Arc Furnace Steelmaking: Current Status and Future Prospects","year":2024,"lang":"en","type":"article","venue":"Journal of Sustainable Metallurgy","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Office of Energy Research and Development; Natural Resources Canada; ArcelorMittal","keywords":"Steelmaking; Electric arc furnace; Carbon footprint; Process (computing); Engineering; Environmental science; Greenhouse gas; Computer science; Metallurgy; Materials science","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":[0.001143975,0.0006752232,0.000754958,0.001091703,0.000288302,0.00157554,0.0004822575,0.001073803,0.006404507],"category_scores_gemma":[0.0007807487,0.0002410394,0.0005774678,0.001699673,0.0005118301,0.001951439,0.000693612,0.001027685,0.00134784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006654981,"about_ca_system_score_gemma":0.001126311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001261471,"about_ca_topic_score_gemma":0.001996621,"domain_scores_codex":[0.999681,0.00005139,0.00002128727,0.00007605837,0.0001134012,0.00005674593],"domain_scores_gemma":[0.9995959,0.0001622597,0.00007242819,0.00001790694,0.0001252249,0.00002619838],"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":[0.0002798824,0.0001209787,0.001592616,0.04595012,0.000193253,0.0005680819,0.0003143122,0.004660033,0.03959404,0.04124027,0.02811167,0.8373746],"study_design_scores_gemma":[0.00002502454,0.0005317875,0.002699234,0.004545097,0.0002757094,0.0005827096,0.0005223092,0.002259259,0.02764536,0.02158884,0.9392332,0.00009141167],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00764332,0.9799348,0.002859178,0.002446692,0.0004531992,0.00001681389,0.000205328,0.00007215104,0.006368619],"genre_scores_gemma":[0.04362835,0.9514231,0.001956888,0.0005796974,0.0003954381,0.00001667787,0.0001975499,0.00001355999,0.001788731],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006404507,"threshold_uncertainty_score":0.02142525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439354976636087,"score_gpt":0.2631642476717435,"score_spread":0.2487706979053826,"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."}}