{"id":"W2016983161","doi":"10.1208/pt060229","title":"Monitoring the fluidized bed granulation process based onS-statistic analysis of a pressure time series","year":2005,"lang":"en","type":"article","venue":"AAPS PharmSciTech","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Technische Universiteit Delft","keywords":"Granulation; Granule (geology); Statistic; Fluidized bed; Fluidization; Mathematics; Chromatography; Chemistry; Biological system; Materials science; Statistics; Composite material; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001888847,0.0001850931,0.0004172002,0.0003021066,0.0001515761,0.0000481903,0.0003497223,0.00009054432,0.002629052],"category_scores_gemma":[0.0001670526,0.0001422873,0.0001791996,0.002383812,0.00009283613,0.0001826001,0.00002733603,0.0001667565,0.0000138862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004096597,"about_ca_system_score_gemma":0.00004798465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002948301,"about_ca_topic_score_gemma":0.000004141196,"domain_scores_codex":[0.9986885,0.00002593176,0.0003531307,0.0002831183,0.0004042872,0.0002450801],"domain_scores_gemma":[0.9989331,0.000235302,0.0002180489,0.0003966713,0.0001609506,0.00005596282],"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":[0.0001933201,0.0002048232,0.0380269,0.0002126417,0.002447734,0.000002563684,0.0004916926,0.003606374,0.9532161,0.00003876182,0.0002424145,0.001316652],"study_design_scores_gemma":[0.0004794513,0.00001183065,0.001047621,0.0000184742,0.00491687,0.000001013784,0.0001093055,0.01518486,0.9776396,0.00007930425,0.0003529604,0.0001587803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951968,0.001164321,0.001421824,0.0004376625,0.00002491929,0.0001136982,0.0001543089,0.0001616547,0.001324783],"genre_scores_gemma":[0.9976331,0.00003027535,0.00108032,0.00003236924,0.0001470533,0.00004023485,0.00007587526,0.00001897047,0.0009418207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03697928,"threshold_uncertainty_score":0.9982827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272848937830527,"score_gpt":0.3015199022131861,"score_spread":0.2887914128348808,"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."}}