{"id":"W2601170529","doi":"10.1007/s11837-017-2320-z","title":"Measurement of Vibrated Bulk Density of Coke Particle Blends Using Image Texture Analysis","year":2017,"lang":"en","type":"article","venue":"JOM","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alcoa (Canada); Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Coke; Petroleum coke; Partial least squares regression; Texture (cosmology); Materials science; Particle size; Composite material; Metallurgy; Image (mathematics); Computer science; Artificial intelligence; Mathematics; Chemical engineering; Statistics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001460767,0.0000719832,0.0002061889,0.00004543381,0.00006551096,0.0000261697,0.0001223368,0.00004034669,0.00004033792],"category_scores_gemma":[0.00005403356,0.00006654264,0.000069837,0.0001310603,0.00003943415,0.00009197734,0.00002557514,0.00005074723,0.000002257265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002429337,"about_ca_system_score_gemma":0.00001890845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001007622,"about_ca_topic_score_gemma":0.0001358419,"domain_scores_codex":[0.9994465,0.000009046801,0.0001631458,0.00007847729,0.000191382,0.0001114606],"domain_scores_gemma":[0.9994333,0.000005426215,0.00008832434,0.0003047084,0.0001436282,0.00002459942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000193811,0.00004496829,0.03166463,0.0003219023,0.0005216218,0.000006665395,0.0004218727,0.02278744,0.9422266,0.0002315717,0.00008978455,0.001663505],"study_design_scores_gemma":[0.0001930404,0.00001247622,0.07650812,0.0000396236,0.0003087946,7.405303e-7,0.00004172111,0.1176589,0.8048496,0.00001234832,0.0002791718,0.00009550039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889838,0.0001944969,0.008024252,0.00002118397,0.00007861722,0.00003763016,0.000006784298,0.00004193644,0.002611279],"genre_scores_gemma":[0.999271,0.000008546919,0.000628308,0.000005352515,0.00001582439,6.631201e-7,7.86992e-7,0.000008571942,0.00006091754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1373771,"threshold_uncertainty_score":0.271353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03012481839874566,"score_gpt":0.2605557746388629,"score_spread":0.2304309562401173,"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."}}