{"id":"W4404378027","doi":"10.1080/17509653.2024.2426492","title":"Prediction of CO <sub>2</sub> emissions to achieve net-zero objectives in the iron and steel sectors of North America","year":2024,"lang":"en","type":"article","venue":"International Journal of Management Science and Engineering Management","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Zero (linguistics); Zerovalent iron; Natural resource economics; Econometrics; Environmental economics; Economics; Chemistry","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":[0.0005025867,0.0004861119,0.0002895115,0.0003772396,0.0001989796,0.0006398323,0.0003286948,0.000580732,0.0003918688],"category_scores_gemma":[0.001125311,0.0001966179,0.0002643339,0.0004872514,0.0001934032,0.0006157576,0.0001965524,0.0003781621,0.00008509474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025135,"about_ca_system_score_gemma":0.0009998993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06089795,"about_ca_topic_score_gemma":0.06434718,"domain_scores_codex":[0.9998845,0.00003456981,0.000005556886,0.00003675718,0.000022775,0.00001577431],"domain_scores_gemma":[0.9996426,0.0001913077,0.00005373118,0.00001369758,0.00008294047,0.00001568876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003495809,0.00003847242,0.007976447,0.00001970812,0.00001415872,0.00004347589,0.00001363107,0.9837725,0.0008844401,0.000464833,0.0004910837,0.006246446],"study_design_scores_gemma":[0.00000184887,0.00000699041,0.002535509,0.000001483417,0.000001666585,0.000002772213,0.00001859834,0.9967375,0.0003819355,0.0001964946,0.0001128162,0.00000233666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708344,0.0001391469,0.025394,0.0005049219,0.00002149953,0.00002581183,0.0007068475,0.0001711288,0.002202249],"genre_scores_gemma":[0.9916781,0.00007506381,0.007223692,0.00002006111,0.000004833294,0.00001462572,0.000474974,0.00001071453,0.0004979869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9391021,"threshold_uncertainty_score":0.121087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007512871296328385,"score_gpt":0.2220592182043319,"score_spread":0.2145463469080035,"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."}}