{"id":"W2108770247","doi":"10.1177/0040517508099394","title":"A Proposal for a New Size Label to Assist Consumers in Finding Well-fitting Women’s Clothing, Especially Pants: An Analysis of Size USA Female Data and Women’s Ready-to-wear Pants for North American Companies","year":2009,"lang":"en","type":"article","venue":"Textile Research Journal","topic":"Fashion and Cultural Textiles","field":"Arts and Humanities","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clothing; Marketing; Standardization; Business; Portion size; Order (exchange); Point (geometry); Sizing; Population; Advertising; Computer science; Mathematics; Medicine; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002998042,0.0002586078,0.0008075907,0.0007069774,0.0009753235,0.001027498,0.0008370419,0.00004431795,0.001085283],"category_scores_gemma":[0.002144008,0.0002083712,0.00008698142,0.0006271529,0.0003594053,0.0006272947,0.0001907556,0.0004694383,0.00001351049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003912856,"about_ca_system_score_gemma":0.000510039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007746626,"about_ca_topic_score_gemma":0.04478392,"domain_scores_codex":[0.9964064,0.0002955206,0.0007591,0.0005552649,0.0007716533,0.001212099],"domain_scores_gemma":[0.9968702,0.001092815,0.0003043298,0.0004084408,0.0005157095,0.0008085446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.003573974,0.001518778,0.0374112,0.0002479076,0.001472351,0.00006005898,0.7406424,0.0002600931,0.002878556,0.008503308,0.01390909,0.1895223],"study_design_scores_gemma":[0.004549112,0.006821864,0.2646955,0.0004031985,0.0002353072,0.00002281527,0.6406321,0.006418178,0.00006400287,0.001004224,0.07411982,0.001033844],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965795,0.00002934293,0.00002910734,0.001279792,0.00007986151,0.0008281601,0.0007662912,0.00002503972,0.0003828843],"genre_scores_gemma":[0.9929796,0.00007225713,0.002520696,0.0004039916,0.0003980504,0.00008220049,0.0000413102,0.00002861564,0.00347326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2272843,"threshold_uncertainty_score":0.9998279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1780827933708856,"score_gpt":0.4099145496735362,"score_spread":0.2318317563026506,"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."}}