{"id":"W4234756511","doi":"10.32920/14653800","title":"More Than Words: an Analysis of Communication on Twitter for an Apparel Heritage Brand","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Brand community; Clothing; Advertising; The Internet; Exploratory research; Social media; Business; Brand awareness; World Wide Web; Computer science; Sociology; 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":[0.0004537427,0.0002830124,0.0002589873,0.002425652,0.001126114,0.001607337,0.0002348376,0.0005831968,0.002680211],"category_scores_gemma":[0.002915248,0.00009944152,0.0002941517,0.003339296,0.0005301653,0.002086729,0.001013856,0.0006083093,0.00115486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000595813,"about_ca_system_score_gemma":0.0003200687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003844306,"about_ca_topic_score_gemma":0.005670269,"domain_scores_codex":[0.9995505,0.0001068219,0.00003867372,0.00006597319,0.0001504993,0.00008745622],"domain_scores_gemma":[0.9974567,0.001525999,0.0003405312,0.0001161782,0.0004098188,0.0001506813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001332429,0.0005151901,0.4798152,0.001594918,0.0001683122,0.005919013,0.2405188,0.001169849,0.03708487,0.007634379,0.024254,0.199993],"study_design_scores_gemma":[0.00001893924,0.0002931452,0.7614905,0.0002921924,0.0001107548,0.001782727,0.1626336,0.008390926,0.007359061,0.002981682,0.0545176,0.0001287901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878469,0.0001614324,0.001060693,0.0004136954,0.00007319081,0.00006515434,0.003036406,0.00004796461,0.007294575],"genre_scores_gemma":[0.9872155,0.0002989848,0.002836369,0.0001776549,0.0001453635,0.0001906882,0.003554102,0.00007317837,0.005508236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003844306,"threshold_uncertainty_score":0.008966208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06399064405008661,"score_gpt":0.3738370012578523,"score_spread":0.3098463572077657,"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."}}