{"id":"W2883578160","doi":"10.31274/itaa_proceedings-180814-302","title":"The Right Fit: A Clothing Needs Assessment of Women with Plus-size Bodies (20+)","year":2017,"lang":"en","type":"report","venue":"","topic":"Fashion and Cultural Textiles","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Toronto Metropolitan University","funders":"","keywords":"Clothing; Body shape; Product (mathematics); Advertising; Psychology; Business; Computer science; Mathematics; Political science","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":[0.001457296,0.0002723529,0.0003065063,0.000733149,0.001580798,0.001119549,0.0003144346,0.0005423276,0.003546535],"category_scores_gemma":[0.00304781,0.0004350863,0.0003757162,0.0005052848,0.000528787,0.0009803487,0.001736762,0.0007581117,0.0007234917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006548526,"about_ca_system_score_gemma":0.0009145631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00716712,"about_ca_topic_score_gemma":0.01729977,"domain_scores_codex":[0.9996049,0.0001177042,0.0000353869,0.00004222964,0.00007523461,0.0001246329],"domain_scores_gemma":[0.9991393,0.0002142055,0.0001413665,0.00003132235,0.000245444,0.0002283247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004638079,0.001358735,0.4272839,0.0004629468,0.00002517832,0.003319608,0.4877889,0.00007971896,0.00578384,0.0003774601,0.003258885,0.06979695],"study_design_scores_gemma":[0.0000258276,0.001534393,0.2873232,0.000154322,0.00002340586,0.002030341,0.6979643,0.000215114,0.000750634,0.0002212579,0.009713357,0.00004396483],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9980718,0.00004540366,0.00009439186,0.0001337329,0.000005816702,0.00008080471,0.00007382515,0.000002458005,0.001491799],"genre_scores_gemma":[0.9953334,0.0002348142,0.0008524077,0.0002432586,0.000006171833,0.0002573946,0.0001281163,0.000007293519,0.002937114],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.00716712,"threshold_uncertainty_score":0.01425081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05714948518507238,"score_gpt":0.3019388343935,"score_spread":0.2447893492084276,"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."}}