{"id":"W2892087411","doi":"10.1007/978-3-319-95022-8_134","title":"In Situ Precipitation of Scorodite in Atmospheric Leaching of Enargite","year":2018,"lang":"en","type":"book-chapter","venue":"The minerals, metals & materials series","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Ferric; Leaching (pedology); Environmental remediation; Catalysis; In situ; Precipitation; Copper; Chemistry; Materials science; Metallurgy; Inorganic chemistry; Environmental science; Contamination; Soil science","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":[0.0001121346,0.0002526756,0.0002138105,0.0001325155,0.0001683135,0.000420726,0.0003148906,0.0002591115,0.0009574143],"category_scores_gemma":[0.0000729731,0.0001370804,0.000184671,0.0002129791,0.0001526954,0.0003429303,0.0002530007,0.0003670791,0.0003642772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002868503,"about_ca_system_score_gemma":0.0001849487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001061389,"about_ca_topic_score_gemma":0.003266367,"domain_scores_codex":[0.9999251,0.000004653559,0.000003177849,0.00002793107,0.00002649265,0.00001262615],"domain_scores_gemma":[0.9999812,0.000006866725,0.000003065737,0.000002301208,0.00000423231,0.00000224974],"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":[0.0001207273,0.00003093797,0.0004080324,0.0001183491,0.000007576774,0.0001352028,0.00007420261,0.0002775893,0.9844716,0.0003115445,0.0003316329,0.01371242],"study_design_scores_gemma":[0.000007413062,0.00007863784,0.001520805,0.000006973025,0.000008008676,0.0001249932,0.00005924409,0.0008627848,0.9893421,0.0001317175,0.007852213,0.000005045516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629108,0.005030901,0.01017482,0.0003302887,0.0002507413,0.00002972357,0.0005860945,0.0001509498,0.02053582],"genre_scores_gemma":[0.9553576,0.00407383,0.004763858,0.00009595521,0.00004962023,0.00001522768,0.0006356637,0.00008817631,0.03492005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001061389,"threshold_uncertainty_score":0.003202796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560008950304174,"score_gpt":0.2260515352424647,"score_spread":0.210451445739423,"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."}}