{"id":"W4244576327","doi":"10.32920/ryerson.14666427.v1","title":"Making fans go \"GAGA\": intimacy, identity and brand building through Twitter","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Advertising; Social media; Sociology; Service (business); Identity (music); Digital media; Media studies; Business; Marketing; Aesthetics; Art; World Wide Web; Computer 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":[0.001718945,0.0003338369,0.0002177565,0.001386704,0.004888114,0.00514865,0.0004122383,0.000838915,0.004266358],"category_scores_gemma":[0.004779337,0.0002062498,0.0002290278,0.001058713,0.003850837,0.006860161,0.002942266,0.001110358,0.0008249403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292199,"about_ca_system_score_gemma":0.0009681217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004132453,"about_ca_topic_score_gemma":0.01170362,"domain_scores_codex":[0.9989667,0.0005757274,0.00004142566,0.00009111911,0.000184955,0.0001400354],"domain_scores_gemma":[0.9982544,0.00107082,0.000236612,0.00007290676,0.0001584482,0.0002069459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001535893,0.0000691438,0.03072219,0.0006689384,0.00002747928,0.001579943,0.8330814,0.00006731696,0.004004505,0.01706268,0.009392305,0.1031706],"study_design_scores_gemma":[0.00001242646,0.00008002284,0.03520779,0.0008766974,0.00004024511,0.0007558361,0.7306873,0.0003743978,0.001353808,0.003454057,0.2271097,0.00004778391],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.859763,0.003585974,0.002516879,0.01101994,0.0004928363,0.0001372268,0.0002530968,0.0001073226,0.1221237],"genre_scores_gemma":[0.982439,0.002456577,0.0009031699,0.001103253,0.0001774758,0.00006496398,0.0001007351,0.00005717228,0.01269758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00514865,"threshold_uncertainty_score":0.01427239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.122269033566278,"score_gpt":0.4253499363942848,"score_spread":0.3030809028280068,"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."}}