{"id":"W2982071903","doi":"10.4095/313619","title":"Recovery and purification of arsenic oxide : Giant Mine","year":2000,"lang":"en","type":"report","venue":"","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Arsenic; Oxide; Environmental chemistry; Geology; Mining engineering; Environmental science; Chemistry; Metallurgy; Materials 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":[],"consensus_categories":[],"category_scores_codex":[0.0002163541,0.0001263542,0.0002297216,0.0001157286,0.00001125892,0.00001281832,0.00004067857,0.0001745193,0.0004830324],"category_scores_gemma":[0.00003043265,0.00009388831,0.00006848512,0.00005564058,0.00001080924,0.00005479403,0.000005660542,0.0001879634,0.00002159559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004419484,"about_ca_system_score_gemma":0.00004117923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001493342,"about_ca_topic_score_gemma":0.0000401913,"domain_scores_codex":[0.9992777,0.00001006647,0.0003208955,0.0001285731,0.0001783876,0.00008435381],"domain_scores_gemma":[0.9996747,0.00002376502,0.00006854503,0.0001631858,0.00003157374,0.0000381774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001357794,0.00003637706,0.0000495069,0.001055415,0.0002050067,0.000007855368,0.00002255939,0.0009515026,0.09784196,0.00003755036,0.0316824,0.8680963],"study_design_scores_gemma":[0.0001009263,0.00002204369,0.004397975,0.0001878411,0.00007448172,0.0001355596,0.00002170736,0.002232641,0.008508561,0.00003458869,0.9839808,0.0003029194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1011258,0.005258752,0.001501384,0.00005405871,0.0009877264,0.0002415817,0.00003693989,0.0002739705,0.8905197],"genre_scores_gemma":[0.4821576,0.1423168,0.01119755,0.00005862156,0.0007487971,0.0000299126,0.0005229997,0.0001817887,0.362786],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9522983,"threshold_uncertainty_score":0.5288866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591619529886061,"score_gpt":0.2465747214563444,"score_spread":0.2206585261574838,"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."}}