{"id":"W4251046186","doi":"10.15407/ufm.22.02.271","title":"On the Issue of Alloying and Modification of Alloys: Using the Waste Products for Creation of Novel Materials","year":2021,"lang":"en","type":"article","venue":"Progress in Physics of Metals","topic":"Industrial Engineering and Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"ArcelorMittal (Canada)","funders":"","keywords":"Raw material; Production (economics); Hazard; Process engineering; Waste management; Materials science; Computer science; Engineering; Chemistry","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":[0.0003188587,0.00006864796,0.0002119323,0.00003185597,0.00001144625,0.000005563865,0.00009513768,0.00004547782,5.324327e-7],"category_scores_gemma":[0.0002067316,0.00004705393,0.00002402746,0.0001693601,0.00008120676,0.00004632335,0.00002459035,0.00004489507,1.739014e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006917151,"about_ca_system_score_gemma":0.00001123556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005713219,"about_ca_topic_score_gemma":1.518825e-7,"domain_scores_codex":[0.9994872,0.00001565788,0.0002598808,0.00007355338,0.00009510818,0.00006857324],"domain_scores_gemma":[0.9994005,0.0001329562,0.0001381223,0.0002065236,0.0001187272,0.000003147635],"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":[0.00001317072,0.00006028968,0.00001832735,0.0005626703,0.00007921923,4.205226e-8,0.0002667237,0.1094869,0.856347,0.02660984,0.000003751248,0.006552022],"study_design_scores_gemma":[0.0001733092,0.00002195708,0.00002501207,0.00016805,0.00003239339,2.216446e-7,0.0001700386,0.03504227,0.9632815,0.001038441,0.000008164278,0.00003863877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946596,0.0006809442,0.004091179,0.00009292391,0.00009071615,0.0003191709,0.00002846739,0.00001577514,0.00002121096],"genre_scores_gemma":[0.9951152,0.00003722239,0.004764277,7.325791e-7,0.00003312436,0.00003086858,0.000004565575,0.0000114135,0.000002601279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1069345,"threshold_uncertainty_score":0.1918804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06647357297060033,"score_gpt":0.2898416808112814,"score_spread":0.2233681078406811,"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."}}