{"id":"W4321240028","doi":"10.1080/19392699.2023.2179042","title":"Coal rheology – the effect of coal origin, rank, and particle size","year":2023,"lang":"en","type":"article","venue":"International Journal of Coal Preparation and Utilization","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Teck (Canada); ArcelorMittal (Canada)","funders":"","keywords":"Coal; Rheology; Rank (graph theory); Particle size; Coal rank; Particle (ecology); Petroleum engineering; Environmental science; Mineralogy; Mining engineering; Geology; Materials science; Mathematics; Waste management; Composite material; Engineering; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005166644,0.0002224185,0.0002263543,0.0003778922,0.0003732216,0.0005080328,0.0001972856,0.0001534978,0.001523416],"category_scores_gemma":[0.001412319,0.0001443825,0.000258192,0.0004278429,0.0002911759,0.0003112579,0.00017961,0.0003194432,0.0002721972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003571987,"about_ca_system_score_gemma":0.0004003001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01953237,"about_ca_topic_score_gemma":0.03956746,"domain_scores_codex":[0.9996074,0.00004947914,0.00004005663,0.00006089562,0.0001940968,0.00004810873],"domain_scores_gemma":[0.9988983,0.0003706424,0.0001122453,0.0001100823,0.0004290015,0.00007969836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001082149,0.0001792522,0.03708043,0.000144212,0.00008543333,0.0001555354,0.0002835212,0.001177752,0.9426292,0.00009322941,0.0002178284,0.0168715],"study_design_scores_gemma":[0.000008620975,0.001323652,0.2809236,0.00001359548,0.00007127705,0.0002204589,0.0002675276,0.001767022,0.7129379,0.00004996845,0.002386516,0.00002992866],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966577,0.000450985,0.0007705999,0.00002185778,0.00001129203,0.00003535064,0.0002109626,0.00002624825,0.001814976],"genre_scores_gemma":[0.9969181,0.0002416849,0.0008598007,0.00002380808,0.000003472773,0.00001008965,0.0002592487,0.00002093751,0.001662991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01953237,"threshold_uncertainty_score":0.03883731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010772335976537,"score_gpt":0.3149643976992738,"score_spread":0.2948566743395084,"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."}}