{"id":"W4200505173","doi":"10.22541/au.163976188.84584420/v1","title":"A sliding-window based signal processing method for characterizing clusters in gas-solids high-density CFB reactor","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"SIGNAL (programming language); Sliding window protocol; Bisection method; Mechanics; Window (computing); Materials science; Constant (computer programming); Standard deviation; Particle (ecology); Analytical Chemistry (journal); Biological system; Control theory (sociology); Mathematics; Algorithm; Physics; Chromatography; Chemistry; Computer science; Statistics","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":[0.0005114214,0.0005023858,0.0003370066,0.001000419,0.0002984116,0.0004941167,0.0004773078,0.0005036146,0.00112506],"category_scores_gemma":[0.0009146098,0.0002412066,0.0003075736,0.0009580649,0.0003213544,0.0005901348,0.0002945376,0.0005263594,0.0003346328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002973937,"about_ca_system_score_gemma":0.0004061059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002131965,"about_ca_topic_score_gemma":0.001962782,"domain_scores_codex":[0.9997454,0.00003019765,0.00001564868,0.00008716458,0.0001004042,0.00002129474],"domain_scores_gemma":[0.9996656,0.0001002044,0.00004148501,0.00003900049,0.0001293329,0.0000243713],"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":[0.0008333523,0.0001364974,0.003469589,0.0002905202,0.00006781903,0.0002737599,0.0003689112,0.02897886,0.6000252,0.003469339,0.001512895,0.3605732],"study_design_scores_gemma":[0.00003249785,0.000246412,0.01199326,0.000013249,0.00004491945,0.0001940693,0.0001002652,0.7857864,0.1965773,0.001345149,0.00358576,0.00008067454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1192932,0.0003076932,0.8781835,0.0000738315,0.00006547324,0.00007143135,0.0002168096,0.001163241,0.000624925],"genre_scores_gemma":[0.4519954,0.0002860102,0.5454938,0.00002782952,0.0000397125,0.0001404806,0.0003596806,0.000133717,0.001523372],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002131965,"threshold_uncertainty_score":0.004239082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552985687881674,"score_gpt":0.2468448772191061,"score_spread":0.2313150203402893,"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."}}