{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01427375,0.0002391988,0.0003002469,0.001528898,0.0007249881,0.001589186,0.0004964186,0.0004259163,0.00214446],"category_scores_gemma":[0.03382985,0.000150514,0.0006100496,0.001509928,0.001211415,0.001440935,0.0009300223,0.0007802927,0.0003500051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005514651,"about_ca_system_score_gemma":0.0008878828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0021392,"about_ca_topic_score_gemma":0.003281886,"domain_scores_codex":[0.9937021,0.00316263,0.0006502729,0.0003774771,0.001789563,0.0003181344],"domain_scores_gemma":[0.9722659,0.01521532,0.003333286,0.002748461,0.005746202,0.000690827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002883406,0.0006185679,0.8402763,0.0001784683,0.0001892192,0.0001812112,0.02568256,0.001190127,0.004892405,0.00844762,0.004207438,0.1138476],"study_design_scores_gemma":[0.00003134924,0.0005082519,0.9409651,0.0001139482,0.00007111627,0.0001458255,0.02968874,0.007074987,0.003053827,0.005966325,0.01231383,0.00006665399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806902,0.0000596268,0.009692749,0.0003203627,0.00003630146,0.0003269206,0.000345333,0.00003507619,0.008493274],"genre_scores_gemma":[0.9886329,0.00006421142,0.009752026,0.00007516696,0.00001696876,0.0004502744,0.000323153,0.00001813373,0.0006673134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01427375,"threshold_uncertainty_score":0.07548767,"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."}}