{"id":"W1834737048","doi":"10.1590/s1984-82502010000400007","title":"Statistical evaluation of tablet coating processes: influence of pan design and solvent type","year":2010,"lang":"en","type":"article","venue":"Brazilian Journal of Pharmaceutical Sciences","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Coating; Factorial experiment; Statistical analysis; Materials science; Significant difference; Process engineering; Mathematics; Composite material; Engineering; 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":[0.03707467,0.0009925105,0.002950466,0.00178964,0.0004699606,0.001145868,0.001248682,0.00102993,0.001969625],"category_scores_gemma":[0.07882145,0.0004118573,0.002302932,0.003135623,0.001687862,0.0009959381,0.0008692179,0.001260552,0.0002928765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007438936,"about_ca_system_score_gemma":0.001102773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005543858,"about_ca_topic_score_gemma":0.0004856664,"domain_scores_codex":[0.9407179,0.03570915,0.006467716,0.005579596,0.0102411,0.001284638],"domain_scores_gemma":[0.8140594,0.1569542,0.01064762,0.01017749,0.007250447,0.0009107984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.138865,0.005975933,0.1950533,0.004628884,0.00877031,0.001069858,0.003878871,0.02306895,0.21164,0.003481936,0.00166196,0.4019049],"study_design_scores_gemma":[0.001522178,0.1660071,0.4975978,0.0001544801,0.00457285,0.001146646,0.001290271,0.1521493,0.1651296,0.002331835,0.007807523,0.0002904125],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8314466,0.001043369,0.1624933,0.00009286342,0.000172934,0.002017023,0.00073088,0.0008051884,0.001197923],"genre_scores_gemma":[0.9021018,0.0003296891,0.09239148,0.00006561814,0.00006161509,0.003327299,0.000644277,0.0002843093,0.0007939577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03707467,"threshold_uncertainty_score":0.1960719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2298804410065738,"score_gpt":0.5166866158557056,"score_spread":0.2868061748491318,"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."}}