{"id":"W1668242030","doi":"10.1063/1.2747521","title":"Interpretation of CT-Scan Sinograms to Study the Dynamic Flow Properties of a Fluidized Bed","year":2007,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Petro-Canada","funders":"","keywords":"Bubble; Iterative reconstruction; Computer vision; Tomography; Position (finance); Flow (mathematics); Electrical capacitance tomography; Artificial intelligence; Computer science; Tomographic reconstruction; Fluidized bed; Multiphase flow; Materials science; Algorithm; Physics; Mechanics; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008250645,0.0008215859,0.0002872389,0.004777723,0.0002268583,0.0007933578,0.0002691764,0.0005482846,0.008254112],"category_scores_gemma":[0.002514602,0.0003480841,0.0002728917,0.002209722,0.0003960425,0.0005480507,0.0002623011,0.000687135,0.001188526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001704632,"about_ca_system_score_gemma":0.0003384312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001137148,"about_ca_topic_score_gemma":0.001213912,"domain_scores_codex":[0.9999038,0.00002666332,0.00001481772,0.00001041092,0.00003498742,0.000009337853],"domain_scores_gemma":[0.998412,0.0007088052,0.0001697465,0.0001820284,0.0004550838,0.00007231564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001379801,0.0001912767,0.02623954,0.001634633,0.0001661513,0.006661092,0.0007164365,0.01840005,0.4771978,0.006685569,0.01572508,0.4450025],"study_design_scores_gemma":[0.0002419513,0.000661198,0.1447398,0.0006268775,0.0003899838,0.03087629,0.002162315,0.3137895,0.4078581,0.01698056,0.08138817,0.0002854035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2355454,0.006811383,0.7157878,0.002287572,0.0007113517,0.0007988605,0.006148597,0.006826675,0.02508239],"genre_scores_gemma":[0.5237126,0.006904355,0.4591412,0.0006240745,0.0004108149,0.0002753933,0.002560072,0.00168003,0.004691479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008254112,"threshold_uncertainty_score":0.02761275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142255742375757,"score_gpt":0.2298304121117813,"score_spread":0.2156048378742056,"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."}}