{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001095759,0.0002826791,0.0002958716,0.0005092997,0.0004470186,0.0007664624,0.0002029463,0.0001647813,0.005065547],"category_scores_gemma":[0.00007740657,0.0002492871,0.00006320485,0.0001044477,0.00009290737,0.001137393,0.000550838,0.0007974388,0.00001932057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002327776,"about_ca_system_score_gemma":0.00009703687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000224245,"about_ca_topic_score_gemma":0.001040638,"domain_scores_codex":[0.9980503,0.0002272495,0.0006128133,0.000305941,0.0005871117,0.0002165547],"domain_scores_gemma":[0.9990989,0.0000491742,0.0003660865,0.0001830286,0.0002641766,0.00003861512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003579331,0.0001439608,0.05089346,0.0006332177,0.00007273179,0.000004923304,0.5809886,0.001456922,0.00006090945,0.2969354,0.0008487543,0.06792533],"study_design_scores_gemma":[0.001536339,0.0001277549,0.288722,0.0004979125,0.0001208462,0.00000611215,0.6732378,0.004815876,0.0000255892,0.001460811,0.02814055,0.001308448],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574515,0.00004670991,0.00003580828,0.0002609088,0.0008570993,0.0008024691,0.00003523365,0.0001299858,0.04038031],"genre_scores_gemma":[0.9971628,0.00007122748,0.00004075318,0.0004419831,0.0001400946,0.0002749561,0.001121172,0.00001577018,0.0007312673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2954746,"threshold_uncertainty_score":0.9999959,"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."}}