{"id":"W4200172149","doi":"10.1080/02650487.2021.2000125","title":"Sustainable fashion social media influencers and content creation calibration","year":2021,"lang":"en","type":"article","venue":"International Journal of Advertising","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Influencer marketing; Social media; Advertising; Content (measure theory); Business; Calibration; Computer science; Internet privacy; Marketing; World Wide Web; Mathematics; Marketing management","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":[0.01822133,0.0004331269,0.0002307552,0.002950588,0.002772736,0.008253112,0.0009678417,0.00111509,0.004386574],"category_scores_gemma":[0.06263184,0.0004484598,0.0003668079,0.001846914,0.01190814,0.006735547,0.005274314,0.001531766,0.000544679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003550611,"about_ca_system_score_gemma":0.002561609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001563822,"about_ca_topic_score_gemma":0.001631721,"domain_scores_codex":[0.9785482,0.01417382,0.0006681654,0.001675354,0.004030971,0.0009034787],"domain_scores_gemma":[0.9154099,0.05859851,0.009071792,0.00820394,0.006797514,0.001918302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002330448,0.0004017867,0.1564139,0.0005042758,0.0000909809,0.001025502,0.4800698,0.0009807952,0.006953338,0.1924956,0.002526458,0.1583045],"study_design_scores_gemma":[0.00009698693,0.0005112539,0.2144159,0.001121484,0.000166693,0.00238482,0.3839881,0.01002687,0.01767631,0.1845521,0.1847911,0.0002683679],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7952628,0.0007571234,0.03149671,0.003713285,0.00009995024,0.0004575737,0.00009246188,0.0002186333,0.1679015],"genre_scores_gemma":[0.9942562,0.0001592834,0.002944213,0.0001535653,0.00002458441,0.00007541989,0.00002623074,0.00004217725,0.002318323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01822133,"threshold_uncertainty_score":0.0963648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280330049056978,"score_gpt":0.3061333761494707,"score_spread":0.2833300756589009,"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."}}