{"id":"W3093324383","doi":"10.1016/j.powtec.2020.10.050","title":"On the discrimination of particle clusters in circulating fluidized beds","year":2020,"lang":"en","type":"article","venue":"Powder Technology","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Cluster (spacecraft); Fluidized bed; Fluidized bed combustion; Particle (ecology); Phase (matter); Fluidization; Work (physics); Characterization (materials science); Materials science; Mechanics; Biological system; Computer science; Nanotechnology; Chemistry; Engineering; Physics; Thermodynamics; Mechanical engineering; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.00008225592,0.00008041412,0.0001316535,0.00007893336,0.00002197312,0.000005019312,0.0001475687,0.000091488,0.00002690151],"category_scores_gemma":[0.0001047476,0.00006378445,0.00003150527,0.0004528471,0.00005487837,0.00003313518,0.0000305001,0.0001623864,0.00001935792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001929248,"about_ca_system_score_gemma":0.000004129658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004106711,"about_ca_topic_score_gemma":0.000006920357,"domain_scores_codex":[0.9994513,0.0000185179,0.000185976,0.000103266,0.00007930678,0.0001616002],"domain_scores_gemma":[0.9997393,0.00005478434,0.0000176659,0.0001561329,0.00001277265,0.00001936561],"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":[0.0000148862,0.00002572284,0.002273954,0.00005785274,0.00002140307,0.000007836983,0.001436622,0.0008347571,0.9356252,0.05330393,0.0002449405,0.006152909],"study_design_scores_gemma":[0.0009292378,0.00008559291,0.0007472762,0.00004713537,0.00001737175,0.000003954684,0.001141437,0.1940606,0.7988898,0.003737006,0.0001684255,0.0001721739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912599,0.0001791766,0.00260762,0.005183671,0.00005129006,0.0001321703,0.000001510177,0.0002280525,0.0003565697],"genre_scores_gemma":[0.9996454,0.00001077861,0.0001276469,0.0001677541,0.000009377227,0.00002073883,0.000001699971,0.00001530833,0.000001282314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1932259,"threshold_uncertainty_score":0.2601054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166736113191044,"score_gpt":0.208738919630747,"score_spread":0.1920653083116426,"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."}}