{"id":"W4391494698","doi":"10.1007/978-3-031-50236-1_29","title":"Selective Precipitation of Valuable Metals from Steel Slag Leach Liquor: Experimental and Theoretical Approaches","year":2024,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Metallurgy; Precipitation; Slag (welding); Environmental science; Materials science; Waste management; Engineering; Geography; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002732469,0.0003858883,0.0003471955,0.0002614514,0.0004453455,0.0004866018,0.0008140606,0.000435495,0.001352941],"category_scores_gemma":[0.000204348,0.000276589,0.0003770244,0.0003721788,0.0007119685,0.000864317,0.0003845035,0.000678303,0.0003450952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007939435,"about_ca_system_score_gemma":0.0004197037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163154,"about_ca_topic_score_gemma":0.002057794,"domain_scores_codex":[0.9998714,0.00001809891,0.000005627304,0.00002463216,0.00006265238,0.00001754232],"domain_scores_gemma":[0.9999417,0.00003321238,0.000005339848,0.000008342398,0.000009310044,0.000002094981],"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":[0.0002823584,0.0003091384,0.0003838205,0.001252377,0.00004427975,0.0001731027,0.000206729,0.01147658,0.8860924,0.06632125,0.001298577,0.03215943],"study_design_scores_gemma":[0.00002948752,0.0002147033,0.0004517428,0.00001682093,0.00001836839,0.0001411082,0.0001521586,0.03578174,0.9457641,0.01098483,0.006424351,0.00002051907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7382707,0.01401331,0.1891881,0.001174909,0.0002287595,0.0002963697,0.0007295411,0.0002977361,0.05580058],"genre_scores_gemma":[0.930998,0.01076166,0.04441892,0.0001846064,0.00005133428,0.000231645,0.0005542099,0.0000380134,0.01276168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001352941,"threshold_uncertainty_score":0.00576055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02985873504539009,"score_gpt":0.246251265802248,"score_spread":0.2163925307568579,"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."}}