{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006395861,0.00005370543,0.0001102879,0.00009171336,0.0002314834,0.0003133198,0.0001160859,0.00006206017,0.00003820814],"category_scores_gemma":[0.004052771,0.00005549173,0.0000608162,0.000115893,0.0001343799,0.0009378645,0.00003490305,0.0001065976,7.90884e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002605821,"about_ca_system_score_gemma":0.0003805241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001259407,"about_ca_topic_score_gemma":0.0001946291,"domain_scores_codex":[0.9986952,0.0001623627,0.0002804909,0.00007770648,0.0006450577,0.0001391963],"domain_scores_gemma":[0.9981468,0.0003163534,0.0002274318,0.00002156903,0.001205716,0.00008214725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004070585,0.0002455491,0.06707509,0.00004118662,0.000371144,0.001119425,0.2208729,0.0001096846,0.00708051,0.2867614,0.002426581,0.4134895],"study_design_scores_gemma":[0.003473711,0.0001148844,0.2243796,0.0006421898,0.0001395224,0.0001603648,0.6782489,0.0002088578,0.002817038,0.03387213,0.05531226,0.000630585],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805209,0.0001710572,0.0006751518,0.005180932,0.001051167,0.0000329256,0.000001861778,0.00001316889,0.01235286],"genre_scores_gemma":[0.9977993,0.0001854892,0.0002207949,0.0001994136,0.0009395352,5.794976e-7,0.000004407448,0.000005222013,0.0006452349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4573759,"threshold_uncertainty_score":0.4851839,"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."}}