{"id":"W4241562804","doi":"10.32920/ryerson.14651499","title":"Understanding Online Fast Fashion Evaluative Cues Used By Generation Y and Z Consumers","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Clothing; Sample (material); IBM; Salient; Advertising; Population; Consumer behaviour; Marketing; Computer science; Business; Geography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008893394,0.0001652355,0.0001222699,0.0007055582,0.001003496,0.00206259,0.0002314952,0.0002697565,0.002292723],"category_scores_gemma":[0.002299778,0.0001459522,0.0002098991,0.0004831893,0.000726374,0.0005577392,0.0007055639,0.0004088267,0.0002038782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001449,"about_ca_system_score_gemma":0.001521135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4500073,"about_ca_topic_score_gemma":0.5733297,"domain_scores_codex":[0.99971,0.00004016981,0.000009431699,0.000030843,0.00009432875,0.0001151977],"domain_scores_gemma":[0.9991339,0.0002057522,0.0002241731,0.00005091263,0.000255045,0.0001303357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002521852,0.0001492138,0.8696859,0.00003454202,0.00002119484,0.0002004409,0.1018374,0.00008613252,0.002275824,0.0006226571,0.0006076587,0.02422674],"study_design_scores_gemma":[0.000004381692,0.00005298054,0.9301827,0.00001561534,0.00000969166,0.00004334844,0.0681078,0.0001748836,0.000192171,0.00009458622,0.001107625,0.00001418441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988708,0.00003290779,0.00003134091,0.0000335244,0.000001157808,0.000007442309,0.00002730359,5.973471e-7,0.0009949219],"genre_scores_gemma":[0.998808,0.00008647366,0.0000894792,0.00002907026,0.000001165783,0.000005392397,0.00006833745,0.000001184453,0.0009108779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4500073,"threshold_uncertainty_score":0.894776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2272952736774238,"score_gpt":0.3240008323875371,"score_spread":0.09670555871011324,"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."}}