{"id":"W4386165893","doi":"10.1002/cjce.25069","title":"Feasibility and reaction process for recovery of Si and Pb from high‐calcium zinc extraction residue by alkali roasting","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Major Science and Technology Projects in Yunnan Province; National Natural Science Foundation of China","keywords":"Roasting; Alkali metal; Zinc; Extraction (chemistry); Residue (chemistry); Quartz; Chemistry; Nuclear chemistry; Activation energy; Mineralogy; Materials science; Inorganic chemistry; Metallurgy; Chromatography; Physical chemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002830801,0.0003062708,0.0003750279,0.0002558371,0.0001732528,0.0002175936,0.0002868141,0.0002437654,0.0008332938],"category_scores_gemma":[0.0002641719,0.0001655007,0.0003641841,0.0002914167,0.0002623253,0.0003278846,0.0002117082,0.0003727947,0.0002775521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000173641,"about_ca_system_score_gemma":0.0002595821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072761,"about_ca_topic_score_gemma":0.002238916,"domain_scores_codex":[0.999866,0.00001806531,0.00000813077,0.00002827652,0.00005481238,0.00002470507],"domain_scores_gemma":[0.9999311,0.00001845021,0.00001795446,0.000008121534,0.00001628502,0.000008005532],"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":[0.00007945442,0.000005335547,0.0001885712,0.00006928414,0.000003184336,0.00003081434,0.00001985874,0.0001529192,0.997649,0.00005114976,0.00001045008,0.001739943],"study_design_scores_gemma":[0.00000651106,0.00009113031,0.00115821,0.000003160329,0.0000102786,0.00005173518,0.00001959659,0.0007837538,0.9971476,0.00002183224,0.0007015885,0.000004597971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817395,0.0007477192,0.0159942,0.00004929119,0.00001167112,0.00004352522,0.0001024775,0.00008589627,0.001225632],"genre_scores_gemma":[0.9893734,0.0005260782,0.008248662,0.00001456242,0.000004097109,0.00001718833,0.0001030628,0.0000259474,0.001686975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001072761,"threshold_uncertainty_score":0.00278765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615481089479621,"score_gpt":0.2454708856791024,"score_spread":0.2193160747843062,"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."}}