{"id":"W1696406369","doi":"10.3103/s1068364x15060083","title":"Coke shop 3 at OAO EVRAZ NTMK","year":2015,"lang":"en","type":"article","venue":"Coke and Chemistry","topic":"Coal and Coke Industries Research","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"EVRAZ (Canada)","funders":"","keywords":"Coke; Waste management; Engineering; Environmental science; Process engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009580707,0.0001352946,0.0001480896,0.0000121221,0.0001007963,0.00004976377,0.0001854383,0.0001761531,0.002062772],"category_scores_gemma":[0.0000890422,0.0001213279,0.00004262255,0.0001089146,0.0001276496,0.00005013782,0.0002988116,0.000215981,0.0002395231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008657096,"about_ca_system_score_gemma":0.00009060999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000147673,"about_ca_topic_score_gemma":0.00003459923,"domain_scores_codex":[0.9990061,0.00001272797,0.0001367548,0.0002513468,0.0002784652,0.0003146079],"domain_scores_gemma":[0.9992141,0.00004084609,0.0000269476,0.000287827,0.00009514099,0.000335098],"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":[0.0008041756,0.0003503176,0.04436386,0.0003973522,0.0002239992,0.0005482497,0.00106078,0.0001122069,0.2628278,0.001551832,0.5242753,0.1634842],"study_design_scores_gemma":[0.0006000173,0.0000272197,0.0002018598,0.00001779348,0.00001014573,0.00005695953,0.0004444661,0.0001381326,0.177616,0.0004731635,0.8202209,0.0001933174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6517928,0.0007964561,0.000001484977,0.0004207084,0.00004838431,0.00002603695,0.000008170419,0.00004578625,0.3468602],"genre_scores_gemma":[0.834521,0.0000832361,0.000005705107,0.0001076029,0.0003090059,0.00001470471,0.00003697759,0.00001437563,0.1649074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2959456,"threshold_uncertainty_score":0.9988495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05449708519505784,"score_gpt":0.2678898752623122,"score_spread":0.2133927900672544,"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."}}