{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001197396,0.000489063,0.001149488,0.0001396209,0.0000376423,0.00006572067,0.000299496,0.0003161919,0.001150431],"category_scores_gemma":[0.00004655379,0.0003902284,0.0001542513,0.000105201,0.0001630916,0.0005633078,0.00008316404,0.0002861008,0.00007210696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006868716,"about_ca_system_score_gemma":0.00002808789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002060664,"about_ca_topic_score_gemma":0.001085997,"domain_scores_codex":[0.997482,0.0001666452,0.001432669,0.0003158526,0.0003157914,0.0002870599],"domain_scores_gemma":[0.9987525,0.0001043063,0.0005770546,0.0004460632,0.00007956476,0.00004054435],"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":[0.0001139531,0.00002138061,0.000005023667,0.000670614,0.0001039958,0.000006654984,0.001057076,0.001178718,0.9926678,0.003151387,0.0004025495,0.0006208324],"study_design_scores_gemma":[0.001522662,0.0004688486,0.001171199,0.003141343,0.0003781322,0.0000809331,0.000457748,0.0005388493,0.7585267,0.01743162,0.2142163,0.002065687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9112929,0.002175128,0.0001612853,0.00005093895,0.002978993,0.0008196841,0.0001512031,0.0001238049,0.0822461],"genre_scores_gemma":[0.8907195,0.00112522,0.001580387,0.00004304361,0.0004666168,0.00004072362,0.0001282783,0.0001510957,0.1057451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2341411,"threshold_uncertainty_score":0.999855,"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."}}