{"id":"W4211126444","doi":"10.3390/su14041946","title":"How Fashionable Are We? Validating the Fashion Interest Scale through Multivariate Statistics","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Seneca Polytechnic","funders":"","keywords":"Clothing; Scale (ratio); Consumption (sociology); Multivariate statistics; Sample (material); Multivariate analysis of variance; Homogeneity (statistics); Principal component analysis; Overconsumption; Homogeneous; Market segmentation; Econometrics; Computer science; Statistics; Marketing; Mathematics; Economics; Business; Geography; Microeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008327459,0.0001660382,0.0001562282,0.00008030078,0.001430491,0.0007585053,0.0004160139,0.00003473173,0.0005363254],"category_scores_gemma":[0.0005556474,0.0001405895,0.0000832125,0.0004557096,0.000132206,0.0009143727,0.000586958,0.0003494244,0.00002987646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000385286,"about_ca_system_score_gemma":0.00007571097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004278549,"about_ca_topic_score_gemma":0.0003325027,"domain_scores_codex":[0.9985285,0.0001149682,0.0002797323,0.0004014631,0.0003306414,0.0003447364],"domain_scores_gemma":[0.9983648,0.0001064825,0.0003259861,0.0005384308,0.0006531198,0.00001117907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000184937,0.0009825157,0.5410249,0.001119485,0.00005420457,0.00002451852,0.001894966,0.0003016469,0.0007077517,0.1739233,0.02186928,0.2579125],"study_design_scores_gemma":[0.001009647,0.000009489211,0.5373894,0.00002081354,0.0001685599,0.000004766563,0.08920069,0.002527085,0.0000424176,0.06532202,0.303745,0.0005601501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609784,0.00005957868,0.008857559,0.02785622,0.000854748,0.0009362623,0.00005598169,0.0001969856,0.0002043014],"genre_scores_gemma":[0.9957697,0.000005915919,0.0001637856,0.0003579307,0.0001542694,0.0002715819,0.0001093224,0.00002084524,0.003146621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2818757,"threshold_uncertainty_score":0.9998695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05950293921619706,"score_gpt":0.289034837646274,"score_spread":0.229531898430077,"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."}}