{"id":"W1965049343","doi":"10.1007/s11837-012-0454-6","title":"Minimization of Copper Losses in Copper Smelting Slag During Electric Furnace Treatment","year":2012,"lang":"en","type":"article","venue":"JOM","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Merck Canada Inc. (Canada); Barrick Gold (Canada)","funders":"McGill University","keywords":"Copper; Slag (welding); Metallurgy; Smelting; Materials science; Copper slag; Metal","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":[0.00004946618,0.00009914437,0.0001574297,0.00007337808,0.00001787722,0.000007640946,0.00004538042,0.00005349058,0.0000586127],"category_scores_gemma":[0.00001646607,0.00008204365,0.00003660039,0.0002086576,0.000006154553,0.0001187235,0.000009048365,0.00005436559,0.00001479194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009828909,"about_ca_system_score_gemma":0.000006973347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001324327,"about_ca_topic_score_gemma":0.000007470392,"domain_scores_codex":[0.999442,0.0000112311,0.0001873166,0.00006945556,0.00007665679,0.0002133244],"domain_scores_gemma":[0.9997892,0.00003290358,0.00003253484,0.00008662315,0.00001455069,0.00004415743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001356985,0.000983382,0.08683243,0.001488116,0.0003310032,0.00002431978,0.004323966,0.5387783,0.3424414,0.003087493,0.00009526493,0.02147869],"study_design_scores_gemma":[0.002056812,0.0001119157,0.1221547,0.000128184,0.00006675506,0.00002508948,0.0002486591,0.8200541,0.05197171,0.0001566886,0.002442808,0.0005825284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928241,0.001488146,0.0006282128,0.00000885263,0.00009437103,0.00008137227,0.000001475958,0.00004578875,0.004827641],"genre_scores_gemma":[0.999173,0.00037399,0.0002486825,0.000005160978,0.00006599052,0.000007844155,0.000003981624,0.00002102179,0.0001003415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2904696,"threshold_uncertainty_score":0.3345643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101668798076287,"score_gpt":0.219154098814839,"score_spread":0.2089872190072103,"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."}}