{"id":"W1978878914","doi":"10.1002/aic.12182","title":"Particle size monitoring in dense suspension using ultrasound with an improved model accounting for low‐angle scattering","year":2010,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Electrostatics and Colloid Interactions","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Deconvolution; Particle-size distribution; Attenuation; Suspension (topology); Opacity; Particle (ecology); Ultrasonic sensor; Particle size; Materials science; Detector; Acoustics; Biological system; Optics; Computational physics; Physics; Engineering; Mathematics; Chemical engineering; Geology","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":[0.0002376975,0.0001239242,0.0001279121,0.00003223907,0.0002965007,0.0002668971,0.0001209234,0.00006670753,0.0000497694],"category_scores_gemma":[0.000167295,0.0001123908,0.00004679519,0.00008546063,0.00002056831,0.0005124614,0.00001894156,0.0005690716,7.888424e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103607,"about_ca_system_score_gemma":0.0001087744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005525331,"about_ca_topic_score_gemma":0.0003410237,"domain_scores_codex":[0.9990783,0.000007450744,0.0002604537,0.0001588101,0.0001285008,0.0003664268],"domain_scores_gemma":[0.9992403,0.0001773364,0.0001567869,0.0001617406,0.0001579806,0.000105855],"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":[0.0001120228,0.00007669652,0.01911905,0.0000146013,0.00001623806,0.000005861714,0.0003146351,0.002987791,0.9770146,0.000006547851,0.000004497231,0.0003274466],"study_design_scores_gemma":[0.0007517503,0.00004290346,0.0005869165,0.00008677318,0.0000283064,0.0003149487,0.0005646303,0.2855442,0.7116398,0.0002720726,0.00001228799,0.0001554073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979821,0.00001493449,0.001687332,0.00004669164,0.0001320749,0.00005603171,0.000002707978,0.00001906807,0.0000590294],"genre_scores_gemma":[0.9813353,0.000006469527,0.01808803,0.00003230298,0.000376826,0.000009193014,0.00000117581,0.00003618222,0.0001145374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2825564,"threshold_uncertainty_score":0.4583165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579430716658197,"score_gpt":0.2834794454006955,"score_spread":0.2676851382341136,"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."}}