{"id":"W1969341360","doi":"10.1002/cem.1078","title":"Sequential design of mixture experiments for the development of new products","year":2007,"lang":"en","type":"article","venue":"Journal of Chemometrics","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"U.S. Department of Energy","keywords":"Set (abstract data type); Design of experiments; Product (mathematics); Computer science; Property (philosophy); Process engineering; Biochemical engineering; Mathematics; 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":[0.02953158,0.001950693,0.003392955,0.001820802,0.000564336,0.001447312,0.00201147,0.0009912589,0.002259439],"category_scores_gemma":[0.0240197,0.001434135,0.001931424,0.001312443,0.00144974,0.001364127,0.001830641,0.001913275,0.0003355374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364682,"about_ca_system_score_gemma":0.00251681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007540129,"about_ca_topic_score_gemma":0.001131591,"domain_scores_codex":[0.9759822,0.01691494,0.0008913978,0.002282049,0.00356089,0.0003684674],"domain_scores_gemma":[0.9740971,0.02032804,0.002158415,0.001568664,0.001511797,0.0003359359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0128541,0.003955338,0.005097212,0.002799715,0.00190623,0.0002030364,0.0004756144,0.4592602,0.1324281,0.03638754,0.0008168183,0.3438161],"study_design_scores_gemma":[0.00159032,0.01293125,0.002312446,0.00005893722,0.000461702,0.00008624063,0.00005039903,0.8803566,0.06972904,0.02611957,0.006139241,0.0001642752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04554715,0.0005102018,0.9508898,0.00006435446,0.00007640569,0.001808406,0.00009829592,0.000362972,0.000642443],"genre_scores_gemma":[0.1423444,0.000310212,0.8527213,0.00005620737,0.00003172317,0.003959813,0.000131522,0.00004493953,0.0003998858],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02953158,"threshold_uncertainty_score":0.1561798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3834768506986345,"score_gpt":0.4891570911188014,"score_spread":0.1056802404201669,"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."}}