{"id":"W2121659962","doi":"10.1007/s11015-014-9929-8","title":"EZRAZ ZSMK – 50 Years of Success","year":2014,"lang":"en","type":"article","venue":"Metallurgist","topic":"Coal and Coke Industries Research","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"EVRAZ (Canada)","funders":"","keywords":"Metallurgy; Engineering; Business; 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":[0.005847252,0.0009018862,0.0008578582,0.002097885,0.002019006,0.006113051,0.0009507422,0.002119751,0.03057302],"category_scores_gemma":[0.007477554,0.0002835374,0.0003932536,0.002021157,0.002120849,0.002778768,0.005128162,0.002311589,0.01979856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002295268,"about_ca_system_score_gemma":0.006557418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003751971,"about_ca_topic_score_gemma":0.005323217,"domain_scores_codex":[0.9965062,0.0003991365,0.0001769073,0.000243077,0.001676043,0.0009986243],"domain_scores_gemma":[0.9943679,0.0006073661,0.0003533711,0.0002873826,0.001787858,0.002596046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004883995,0.0003073193,0.007429005,0.0009253863,0.0001132476,0.0008232986,0.002252562,0.0006069969,0.001657487,0.0508044,0.5039561,0.4306358],"study_design_scores_gemma":[0.00001786391,0.00006641623,0.005504261,0.0003802411,0.000008766453,0.0002898782,0.001101572,0.00007629588,0.0003121101,0.002883861,0.9893367,0.00002201754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05711224,0.2958288,0.003516861,0.2096257,0.02669478,0.0002097595,0.002312035,0.0008620622,0.4038378],"genre_scores_gemma":[0.3582665,0.1405541,0.003742848,0.03782872,0.009141522,0.0002412441,0.003511308,0.0006263257,0.4460875],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03057302,"threshold_uncertainty_score":0.1022769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02600459477856334,"score_gpt":0.2765938011833469,"score_spread":0.2505892064047835,"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."}}