{"id":"W4393107130","doi":"10.1007/978-3-031-50308-5_103","title":"Estimation of the Coke Calcination Yield by Granulometry Analysis","year":2024,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Coal and Coke Industries Research","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Rio Tinto (Canada)","funders":"","keywords":"Coke; Petroleum coke; Granulometry; Calcination; Yield (engineering); Environmental science; Mineralogy; Materials science; Chemistry; Metallurgy; Geology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008185792,0.0005476706,0.001100317,0.000429829,0.0002395339,0.0003610992,0.000757235,0.0005216187,0.006934462],"category_scores_gemma":[0.0001169183,0.0003207411,0.0005352396,0.0005821019,0.0004283566,0.0002240043,0.0004445861,0.0003979877,0.0002079999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009382651,"about_ca_system_score_gemma":0.00008941949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003814528,"about_ca_topic_score_gemma":0.001695863,"domain_scores_codex":[0.9969095,0.0001696472,0.001045809,0.000513813,0.0009911418,0.0003700883],"domain_scores_gemma":[0.9978943,0.0002504222,0.0005393195,0.001004749,0.0002415166,0.00006968866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004576264,0.0001003932,0.00001166192,0.001155225,0.007918975,0.00002948051,0.0005311183,0.00359802,0.5124357,0.3967201,0.06351746,0.0135242],"study_design_scores_gemma":[0.0002325635,0.0001728849,0.00009301025,0.000360612,0.004775271,0.00002500444,0.0001190653,0.0003295414,0.2929321,0.05497683,0.6451185,0.0008646333],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2210081,0.01292543,0.0003221067,0.008599964,0.006701051,0.003004966,0.008506753,0.0006137915,0.7383178],"genre_scores_gemma":[0.4179207,0.0002411405,0.0000118308,0.00006464832,0.0002347074,0.00006309545,0.000449948,0.00006326743,0.5809507],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.581601,"threshold_uncertainty_score":0.9999245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0265778266897842,"score_gpt":0.261064639032646,"score_spread":0.2344868123428618,"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."}}