{"id":"W4205507248","doi":"10.52978/26187701_2021_8_37-42","title":"ANALYSIS OF THE REASONS FOR RECEIVING DEFECTIVE PRODUCTS CONVERSION OF FIRE REFINING OF COPPER AND WAYS TO ELIMINATE THEM","year":2021,"lang":"en","type":"article","venue":"Культура Наука Производство","topic":"Material Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nickel Institute","funders":"","keywords":"Refining (metallurgy); Copper; Metallurgy; Environmental science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008620922,0.0003672057,0.0003521951,0.00223306,0.0008969316,0.001653692,0.0009260173,0.000810794,0.002724455],"category_scores_gemma":[0.001963011,0.0003276018,0.0008041085,0.001608751,0.0007588468,0.0008332605,0.0002864217,0.0005103734,0.0004582515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386218,"about_ca_system_score_gemma":0.001544926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01302912,"about_ca_topic_score_gemma":0.01382507,"domain_scores_codex":[0.9985284,0.0001164233,0.00007799168,0.000162002,0.0009091724,0.0002060545],"domain_scores_gemma":[0.9984487,0.0004675392,0.0003606833,0.0001009222,0.0005768537,0.00004526427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003086929,0.0003784231,0.5060432,0.002182216,0.0003233005,0.01243756,0.004128797,0.01101524,0.2537648,0.02086618,0.004481118,0.1812922],"study_design_scores_gemma":[0.00004044474,0.0005807296,0.495703,0.0002787856,0.0005799559,0.005891265,0.01462924,0.0172893,0.4196033,0.005139161,0.04009937,0.0001654449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857963,0.001952011,0.003302102,0.0002921541,0.00003855833,0.00007150327,0.0003325788,0.00006520824,0.00814964],"genre_scores_gemma":[0.9936098,0.0008558987,0.001474739,0.00002240145,0.000008715329,0.00001185166,0.0001742361,0.00002020566,0.003821912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01302912,"threshold_uncertainty_score":0.02590656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03673051525765737,"score_gpt":0.2482045965012626,"score_spread":0.2114740812436053,"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."}}