{"id":"W2059998145","doi":"10.1016/j.powtec.2004.11.002","title":"The S-statistic as an early warning of entrainment in a fluidized bed dryer containing pharmaceutical granule","year":2004,"lang":"en","type":"article","venue":"Powder Technology","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"TransCanada (Canada); Merck Canada Inc. (Canada); University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Merck Canada","keywords":"Granule (geology); Entrainment (biomusicology); Statistic; Warning system; Fluidization; Environmental science; Mechanics; Fluidized bed; Chemistry; Materials science; Thermodynamics; Mathematics; Statistics; Physics; Engineering; Composite material","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":[0.0001476263,0.0001017558,0.0001774986,0.00008920821,0.00009736539,0.00001802206,0.000155778,0.00005687453,0.00008463227],"category_scores_gemma":[0.00002818933,0.0000816544,0.00003270305,0.0001912595,0.0001348026,0.00005640984,0.00004028358,0.0001948893,0.00001430097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004475471,"about_ca_system_score_gemma":0.00006072243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002362422,"about_ca_topic_score_gemma":0.00002765812,"domain_scores_codex":[0.99916,0.00004063912,0.0002515655,0.0001725603,0.0001002065,0.0002750314],"domain_scores_gemma":[0.9996228,0.00006488978,0.00007654678,0.0001621478,0.00003896315,0.00003461311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001484358,0.0002738019,0.06721585,0.000007692345,0.00009299447,0.00001117371,0.002116306,0.00006353998,0.09045717,0.7487051,0.000005092562,0.09090286],"study_design_scores_gemma":[0.02481052,0.001254879,0.008768924,0.0001373782,0.0001506241,0.0000117397,0.00784625,0.00538464,0.3354747,0.6129798,0.002408523,0.000771954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870287,0.0001377777,0.01094989,0.001206811,0.00005468918,0.0002259996,0.000006002339,0.00004582844,0.0003442606],"genre_scores_gemma":[0.9995494,0.00000553573,0.0002882463,0.00003879938,0.00003156735,0.00005275206,0.00001285754,0.00001149944,0.000009334084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2450176,"threshold_uncertainty_score":0.332977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00813548517792683,"score_gpt":0.2761353996410222,"score_spread":0.2679999144630954,"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."}}