{"id":"W4290466163","doi":"10.3390/bs12080270","title":"Men’s Physical Stature: Tackling Heightism and Challenges in Fashion Consumption","year":2022,"lang":"en","type":"article","venue":"Behavioral Sciences","topic":"Fashion and Cultural Textiles","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Consumption (sociology); Sociology; Social 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":[0.001317748,0.0001927473,0.0001836893,0.0006083875,0.001269258,0.001301524,0.0002106626,0.0002400278,0.00169301],"category_scores_gemma":[0.001739114,0.000181364,0.000243453,0.0005887743,0.001184131,0.0009227163,0.00107587,0.0004960198,0.00008987341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005183593,"about_ca_system_score_gemma":0.0009456038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007349147,"about_ca_topic_score_gemma":0.02476423,"domain_scores_codex":[0.9995078,0.0002544574,0.00001934591,0.00004338432,0.00009751406,0.00007760135],"domain_scores_gemma":[0.9991172,0.0002919368,0.0003483897,0.00003206719,0.00006993084,0.0001405088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001272689,0.0001066256,0.8594695,0.0001543364,0.000047799,0.0007846598,0.100252,0.00007599126,0.001293722,0.001906121,0.0003499062,0.03543202],"study_design_scores_gemma":[0.000002800649,0.0002235009,0.7961667,0.0000820547,0.00003425406,0.000548192,0.1977016,0.0002915732,0.0003698155,0.0007395516,0.003826482,0.00001347578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970487,0.0005014751,0.0003129638,0.0003014552,0.00001160746,0.000006867481,0.00001681361,0.000001391507,0.001798616],"genre_scores_gemma":[0.9989129,0.0002970806,0.0002541843,0.00005551474,0.0000100939,0.000003611722,0.000009517517,8.579172e-7,0.0004561832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007349147,"threshold_uncertainty_score":0.01461273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2124327645903545,"score_gpt":0.3228194361133456,"score_spread":0.1103866715229911,"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."}}