{"id":"W2051200933","doi":"10.1208/s12249-009-9269-3","title":"A Two One-Sided Parametric Tolerance Interval Test for Control of Delivered Dose Uniformity—Part 2—Effect of Changing Parameters","year":2009,"lang":"en","type":"article","venue":"AAPS PharmSciTech","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Micropharma (Canada)","funders":"","keywords":"Test (biology); Parametric statistics; Statistics; Interval (graph theory); Confidence interval; Sample size determination; Mathematics; Set (abstract data type); Standard deviation; Tolerance interval; Acceptance testing; Reliability engineering; Computer science; Engineering","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":[0.0469331,0.003282449,0.006800578,0.00299676,0.001748866,0.002529118,0.006481139,0.00557925,0.01725621],"category_scores_gemma":[0.1224291,0.001669351,0.005396914,0.002979603,0.003452423,0.003916166,0.002887687,0.007283821,0.001695474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001990966,"about_ca_system_score_gemma":0.002179774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00146898,"about_ca_topic_score_gemma":0.00158951,"domain_scores_codex":[0.8961832,0.05296625,0.01131791,0.0158352,0.01962695,0.004070464],"domain_scores_gemma":[0.7136557,0.2362006,0.0145155,0.02369917,0.01033423,0.001594996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.209529,0.0229503,0.03421113,0.004880463,0.01003577,0.003046063,0.006157901,0.04192569,0.3481979,0.01330962,0.01060085,0.2951551],"study_design_scores_gemma":[0.009665897,0.1847963,0.1912664,0.0004588287,0.00597108,0.003474755,0.002518567,0.2390915,0.3248277,0.007165928,0.02899847,0.001764575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6200052,0.0007394574,0.354934,0.0002837011,0.001500388,0.005881191,0.003844706,0.003761547,0.009049973],"genre_scores_gemma":[0.6626894,0.0001892574,0.312862,0.0005063367,0.0001582708,0.01005301,0.002603722,0.002625807,0.008312129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0469331,"threshold_uncertainty_score":0.2482089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106052553429106,"score_gpt":0.2654722089600884,"score_spread":0.2444116834257973,"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."}}