{"id":"W2967452963","doi":"10.1021/acs.iecr.9b01751","title":"Tracking the Flow Dynamics in Circulating Fluidized Bed through High-Speed Photography","year":2019,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Mechanics; Work (physics); Tracking (education); Particle (ecology); Flux (metallurgy); Fluidized bed; Flow (mathematics); Particle velocity; Fluidized bed combustion; Fluidization; Materials science; Thermodynamics; Physics; Geology","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001359806,0.0003602451,0.0004432091,0.0001807578,0.0001082401,0.0001982961,0.0006879942,0.0005412769,0.0002673332],"category_scores_gemma":[0.0003242175,0.0003361318,0.0001775328,0.001732312,0.00007619001,0.0002154256,0.000121314,0.002459195,0.00005171093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000553866,"about_ca_system_score_gemma":0.00007681853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002941941,"about_ca_topic_score_gemma":0.00001054455,"domain_scores_codex":[0.9970636,0.00007052322,0.0005404857,0.000435221,0.0008054401,0.001084761],"domain_scores_gemma":[0.998548,0.0004896184,0.00002792407,0.0006908943,0.0001130342,0.0001305337],"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":[0.00003280053,0.00002578387,0.0009735525,0.0001432526,0.00007406291,0.00003417045,0.0002099639,0.03818979,0.9586766,0.00007161145,0.0002773417,0.001291055],"study_design_scores_gemma":[0.002156424,0.00001781662,0.0000624142,0.0002224788,0.00001175186,0.00001710328,0.0002155854,0.3453147,0.6505141,0.00005021473,0.001025266,0.0003921589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964414,0.0003106263,0.00009116983,0.0001201385,0.0006716241,0.0006165917,0.00003479301,0.0003417996,0.001371833],"genre_scores_gemma":[0.9989877,0.00004079761,0.0001098323,0.000006632939,0.0005790333,0.00004090763,0.00007868414,0.0001174565,0.00003895438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3081626,"threshold_uncertainty_score":0.999909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0453424400379652,"score_gpt":0.2750666861440283,"score_spread":0.2297242461060631,"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."}}