{"id":"W4224846142","doi":"10.3390/min12050534","title":"The Use of Hydrogen as a Potential Reductant in the Chromite Smelting Industry","year":2022,"lang":"en","type":"article","venue":"Minerals","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Norges Forskningsråd; Department of Science and Technology, Republic of South Africa","keywords":"Chromite; Ferrochrome; Smelting; Hydrogen; Spinel; Scrap; Materials science; Metallurgy; Chromium; Mullite; Leaching (pedology); Oxide; Slag (welding); Environmental science; Chemistry; Ceramic","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":[0.000255695,0.00007151849,0.00008559431,0.00003758417,0.0001293933,0.00003590849,0.0002219402,0.00003766073,0.00006868005],"category_scores_gemma":[0.00005499962,0.00004667011,0.00003408925,0.0002154154,0.00002444752,0.00004887663,0.00005584516,0.0003326587,0.000002441035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002291775,"about_ca_system_score_gemma":0.00001715904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007881432,"about_ca_topic_score_gemma":0.00001293875,"domain_scores_codex":[0.9993498,0.00006325627,0.0001772627,0.00007439813,0.0001715403,0.0001637976],"domain_scores_gemma":[0.9997054,0.00007229625,0.0000332422,0.0001672593,0.000009649333,0.00001214064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006336556,0.00008402705,0.0004079099,0.00008585787,0.00007672409,0.0001406162,0.007203418,0.5135394,0.4401408,0.003900519,0.02738462,0.006972703],"study_design_scores_gemma":[0.0007795504,0.0001202323,0.001597857,0.00005833277,0.00003976684,0.0002750249,0.003310333,0.03961906,0.0389861,0.0002744243,0.9145224,0.0004169035],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962218,0.0005767855,0.000003583231,0.0003646924,0.0001377529,0.00009770656,0.000009690139,0.00003154978,0.002556372],"genre_scores_gemma":[0.99741,0.00002520705,0.00004444881,0.0001294659,0.00006056031,0.00003045952,0.000003703461,0.00001317573,0.002283003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8871378,"threshold_uncertainty_score":0.1903152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02958059353827967,"score_gpt":0.2374675390495854,"score_spread":0.2078869455113057,"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."}}