{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008087114,0.0008802824,0.001019739,0.001221536,0.001579075,0.002248393,0.001257519,0.001682134,0.7269062],"category_scores_gemma":[0.001229176,0.0004895413,0.000389465,0.0007973504,0.0004142083,0.00132098,0.002068874,0.0008254054,0.4833062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007475449,"about_ca_system_score_gemma":0.001253708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00280901,"about_ca_topic_score_gemma":0.005677884,"domain_scores_codex":[0.9990684,0.00006132505,0.00002321759,0.0002296874,0.0004650436,0.0001522976],"domain_scores_gemma":[0.9990545,0.0001209077,0.0000634661,0.0001531101,0.0003024306,0.0003056636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002888026,0.000387817,0.00149955,0.0007642566,0.00002320171,0.001397909,0.0002433698,0.0007859169,0.02199457,0.006779911,0.777489,0.1857464],"study_design_scores_gemma":[0.00003361763,0.00007844367,0.001330471,0.00005822099,0.000004260654,0.0003053458,0.00007647299,0.0003211235,0.002911897,0.0004689436,0.9943959,0.00001536227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0101933,0.00340698,0.005115797,0.001707813,0.002222811,0.0002256823,0.01021512,0.005220833,0.9616916],"genre_scores_gemma":[0.01597569,0.0005239176,0.001409195,0.0001506244,0.0001278385,0.00004496452,0.003983123,0.001245668,0.976539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7269062,"threshold_uncertainty_score":0.3895352,"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."}}