{"id":"W2013090466","doi":"10.1016/j.ijpharm.2006.09.012","title":"Monitoring high-shear granulation using sound and vibration measurements","year":2006,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"GlaxoSmithKline (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Granulation; Acoustics; Microphone; Vibration; Accelerometer; Materials science; Root mean square; Sound pressure; Composite material; Engineering; Physics; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002115543,0.00008810501,0.0001027583,0.0001591321,0.00003635609,0.00008595819,0.0001051091,0.00004007021,0.00001175538],"category_scores_gemma":[0.00001025414,0.00009015397,0.00004231874,0.00005706092,0.00001615928,0.0003476085,0.00001308885,0.0001332611,0.000001919816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000122182,"about_ca_system_score_gemma":0.00001076115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009317225,"about_ca_topic_score_gemma":8.396859e-7,"domain_scores_codex":[0.9990855,0.00001963161,0.0003158617,0.00005117998,0.0004278657,0.00009991927],"domain_scores_gemma":[0.9995725,0.00001859271,0.00008351833,0.00003592238,0.0002456119,0.00004387014],"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":[0.00003716306,0.00003069164,0.03069578,0.00001521697,0.0001346532,0.00001885521,0.00007277529,0.05575514,0.9069418,0.0001369524,0.00003037518,0.006130553],"study_design_scores_gemma":[0.002264656,0.00002064435,0.01342681,0.00009427424,0.0001234634,0.0001854966,0.00002539332,0.1202263,0.859748,0.002608829,0.001079896,0.000196283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9183156,0.000828786,0.07833939,0.00005783094,0.002309738,0.00003710442,0.000003584517,0.00002305972,0.0000849012],"genre_scores_gemma":[0.9926505,0.0001142788,0.005933834,0.00001659112,0.001263059,2.586096e-7,0.000002970877,0.0000161319,0.000002360283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07433491,"threshold_uncertainty_score":0.3676372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05802426418186586,"score_gpt":0.3199892999340774,"score_spread":0.2619650357522116,"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."}}