{"id":"W2086403857","doi":"10.1300/j038v09n01_06","title":"Strategies of Differentiation in Perceived Quality: An Analysis of Factorial Invariance in Multigroup Sampling","year":2003,"lang":"en","type":"article","venue":"Journal of Food Products Marketing","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"La Cité Collégiale; Université du Québec en Outaouais; Université du Québec à Montréal","funders":"","keywords":"Quality (philosophy); Factorial analysis; Factorial; Marketing; Factorial experiment; Business; Work (physics); Sampling (signal processing); Econometrics; Statistics; Mathematics; 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":[0.07764503,0.000874649,0.001135583,0.002290198,0.001258819,0.001930201,0.001382975,0.001058669,0.00453944],"category_scores_gemma":[0.1837041,0.0004808804,0.002898909,0.002138752,0.004388435,0.002169567,0.002068157,0.001224522,0.0003036808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331867,"about_ca_system_score_gemma":0.001093666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002111335,"about_ca_topic_score_gemma":0.0009463126,"domain_scores_codex":[0.8826349,0.0934904,0.003168128,0.009318863,0.009150987,0.002236773],"domain_scores_gemma":[0.6272005,0.3138525,0.01355779,0.03653211,0.00680756,0.002049628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005823447,0.002929654,0.7682869,0.000316684,0.003615016,0.0005684731,0.01366406,0.01207283,0.01355512,0.03961579,0.000982784,0.1385693],"study_design_scores_gemma":[0.0003095191,0.004451485,0.8569117,0.00005696123,0.0007511626,0.0002627516,0.003102982,0.1127541,0.003184203,0.01695833,0.001083847,0.0001730507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9094962,0.0000764639,0.08715512,0.0000944877,0.0000375721,0.0005017297,0.000114348,0.00009823526,0.00242587],"genre_scores_gemma":[0.990478,0.00001328974,0.008871815,0.00001963853,0.00001342362,0.0003179574,0.000122063,0.00002802144,0.0001357758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07764503,"threshold_uncertainty_score":0.4106311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1030888339200604,"score_gpt":0.3409240365382813,"score_spread":0.2378352026182209,"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."}}