{"id":"W6992851077","doi":"","title":"Moda monstra: a moda como ferramenta ciborgue no perfil de Instagram Fecal Matter","year":2022,"lang":"en","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Fashion and Cultural Textiles","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Popularity; Photography; Clothing; Social media; Opposition (politics); Normative; Digital media; Fashion industry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005647657,0.0003772036,0.0001621214,0.0006682373,0.007869489,0.005609193,0.0004674044,0.001057994,0.01591216],"category_scores_gemma":[0.001566219,0.0001335422,0.0001886083,0.0006181549,0.007711842,0.002651898,0.002296713,0.002247382,0.001814579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006150701,"about_ca_system_score_gemma":0.003360537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1718263,"about_ca_topic_score_gemma":0.3991926,"domain_scores_codex":[0.9993747,0.0001600085,0.000007881211,0.00008689558,0.000178688,0.0001918683],"domain_scores_gemma":[0.999603,0.00008753265,0.00003535509,0.00005382064,0.00009596378,0.0001243682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001172096,0.00004672695,0.004393398,0.0001381131,0.000007383765,0.0006028678,0.1095611,0.0001135409,0.001713635,0.7548469,0.0801064,0.0483528],"study_design_scores_gemma":[0.000005787155,0.00001958752,0.003671221,0.0001324764,0.00000788146,0.0002953333,0.05399269,0.0001726624,0.0004409763,0.006701113,0.9345397,0.00002047335],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05947293,0.001140155,0.002727882,0.0130426,0.001056256,0.00002808184,0.0001374621,0.0001834791,0.9222112],"genre_scores_gemma":[0.7446491,0.001070702,0.002060666,0.00213203,0.0002200692,0.00002448772,0.00007686575,0.0002203469,0.2495457],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1718263,"threshold_uncertainty_score":0.3416523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704630230084482,"score_gpt":0.2249907568501738,"score_spread":0.2079444545493289,"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."}}