{"id":"W1965749284","doi":"10.1016/j.mineng.2010.11.006","title":"Silver loss during the oxidative refining of silver–copper alloys","year":2010,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Refining (metallurgy); Slag (welding); Copper; Metallurgy; Materials science; Borosilicate glass; Pyrometallurgy; Alloy; Metal; Oxide; Copper slag; Oxygen; Chemistry; Smelting","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001716011,0.0002512393,0.0002797645,0.00007958939,0.0000488909,0.00003064305,0.0003027485,0.0001142113,0.0001407531],"category_scores_gemma":[0.00008749253,0.0001847476,0.0001005086,0.0002908152,0.000042251,0.0001607562,0.00006667817,0.0004758891,0.00001983698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002009589,"about_ca_system_score_gemma":0.000008024659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001853969,"about_ca_topic_score_gemma":0.00001846384,"domain_scores_codex":[0.9989517,0.000007599042,0.0003225582,0.0001769475,0.000193355,0.0003478453],"domain_scores_gemma":[0.9993696,0.0001044557,0.00004426473,0.0003381998,0.00005937646,0.00008411742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003398974,0.000007792356,0.00003951976,0.0001299791,0.00005371926,0.000006687889,0.0001138951,0.2799411,0.717892,0.001640892,0.0000282752,0.0001427819],"study_design_scores_gemma":[0.0005518546,0.00002446635,0.002888811,0.00009673535,0.00004376706,0.00004951688,0.00002803695,0.8916211,0.08257884,0.00006353713,0.02145344,0.0005999249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908539,0.0002355198,0.002798572,0.00003541106,0.0004628151,0.00007436546,0.000009743558,0.0002405268,0.00528912],"genre_scores_gemma":[0.9970273,0.00004672511,0.001848733,0.00001230775,0.0001799569,0.00001968605,0.000005799859,0.00007019789,0.0007893201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6353132,"threshold_uncertainty_score":0.7533786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005348272351613871,"score_gpt":0.1917018252131305,"score_spread":0.1863535528615166,"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."}}