{"id":"W4311844923","doi":"10.32920/21689003.v1","title":"Fashion Innovativeness in India: shopping behaviour, clothing evaluation and fashion information sources","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Fashion and Cultural Textiles","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Clothing; Advertising; Fashion industry; Marketing; Business; Product (mathematics); Fashion design; Fast fashion; USable; Geography; Computer science; Multimedia","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008392876,0.0001813088,0.0001597152,0.001343304,0.0005861011,0.001844449,0.0003141964,0.0002741309,0.002555456],"category_scores_gemma":[0.00262983,0.0002162548,0.0003853923,0.001653429,0.0005766269,0.0006310407,0.000808898,0.0004769335,0.0003642333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000522605,"about_ca_system_score_gemma":0.0005480643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01184461,"about_ca_topic_score_gemma":0.01874505,"domain_scores_codex":[0.9995383,0.0001486186,0.00003286534,0.00004696899,0.0001375733,0.00009565424],"domain_scores_gemma":[0.9967684,0.001289504,0.001116166,0.000177764,0.0003326774,0.0003155842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008806313,0.0002288726,0.9711533,0.0000690328,0.00003647156,0.0004085328,0.01409633,0.0000481555,0.0006228596,0.0001558956,0.0003440791,0.0127485],"study_design_scores_gemma":[0.00000196166,0.00007649339,0.9881213,0.00002218935,0.00001610094,0.0002229702,0.01062358,0.00007102672,0.0001509935,0.00003644699,0.0006461595,0.00001080921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979709,0.00005261128,0.00002018791,0.00004472924,0.000001481411,0.000004268923,0.0000420615,0.000002209309,0.001861558],"genre_scores_gemma":[0.9992071,0.0001020567,0.00006061386,0.00003343877,0.000002894501,0.00000425181,0.0000767573,0.000002390638,0.0005106668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01184461,"threshold_uncertainty_score":0.02355134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05482640998683306,"score_gpt":0.2872681129787049,"score_spread":0.2324417029918718,"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."}}