{"id":"W2980440551","doi":"10.3390/pr7100754","title":"Arsenic Removal from Arsenopyrite-Bearing Iron Ore and Arsenic Recovery from Dust Ash by Roasting Method","year":2019,"lang":"en","type":"article","venue":"Processes","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wuhan University of Science and Technology; State Key Laboratory of Refractories and Metallurgy; Wuhan University; Hubei Provincial Department of Education","keywords":"Arsenopyrite; Arsenic; Roasting; Chemistry; Metallurgy; Nitrogen; Environmental chemistry; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002176023,0.0002558638,0.0003131368,0.00007407794,0.00008627438,0.0001703609,0.0001427182,0.0001583026,0.0002941647],"category_scores_gemma":[0.0002207988,0.0002464483,0.00005070958,0.0002001892,0.00001593688,0.0004500184,0.00006713946,0.0004188529,0.0001453192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004152329,"about_ca_system_score_gemma":0.00002730343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003201945,"about_ca_topic_score_gemma":0.00007864941,"domain_scores_codex":[0.9987224,0.0000447206,0.0003071757,0.0004293164,0.0002002808,0.0002961169],"domain_scores_gemma":[0.9991552,0.0004011092,0.00008937479,0.0002122819,0.00003743464,0.000104635],"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":[0.0000745341,0.00008332153,0.00475303,0.001227751,0.0002363648,0.0000272886,0.0008999385,0.004930857,0.744253,0.00001673576,0.001276556,0.2422206],"study_design_scores_gemma":[0.004038161,0.0002860069,0.01041041,0.002172344,0.0006079344,0.0002503596,0.004789889,0.240889,0.4283862,0.004863793,0.2990438,0.004262015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743754,0.009112867,0.009262235,0.0000518667,0.0006038781,0.0001539597,0.00007079457,0.0004151459,0.005953799],"genre_scores_gemma":[0.9744502,0.001161802,0.02286411,0.0001023591,0.0002853839,0.000007676023,0.0001207171,0.00007187569,0.0009358674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3158668,"threshold_uncertainty_score":0.9999987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164779470198168,"score_gpt":0.2305465042063501,"score_spread":0.2188987095043684,"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."}}