{"id":"W4392817741","doi":"10.3983/twc.2024.2399","title":"Using the Murdoch Mysteries fandom to examine the types of content fans share online","year":2024,"lang":"en","type":"article","venue":"Transformative Works and Cultures","topic":"Digital Games and Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fandom; Content (measure theory); Art; Advertising; Mathematics; Business; Literature","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":[0.001205868,0.0002677183,0.0001612685,0.003309474,0.002449407,0.002013138,0.0003245095,0.0003039695,0.003912927],"category_scores_gemma":[0.004221327,0.0001076984,0.0001710415,0.001306646,0.001411543,0.001646112,0.00146859,0.0008257224,0.000385693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048002,"about_ca_system_score_gemma":0.0004416449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01634997,"about_ca_topic_score_gemma":0.0461706,"domain_scores_codex":[0.9994016,0.0002850553,0.00001732117,0.0000693596,0.0001308878,0.00009582502],"domain_scores_gemma":[0.9975616,0.001015536,0.0004505111,0.0001888124,0.0003564795,0.0004270462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006189175,0.001106327,0.5736457,0.0002090842,0.00007314717,0.0006323213,0.3111461,0.0001858419,0.003449106,0.01705335,0.0095671,0.08231298],"study_design_scores_gemma":[0.00004577793,0.0002758507,0.7657382,0.0001473819,0.00002445111,0.0004972191,0.1988733,0.001178334,0.0008305634,0.003615656,0.02872915,0.00004402904],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773462,0.00006854533,0.0003813146,0.0001317708,0.00001540269,0.00006665378,0.000205323,0.000006985839,0.02177796],"genre_scores_gemma":[0.9937988,0.00007861623,0.0007098725,0.0001037576,0.00001613789,0.00009377348,0.0001697654,0.000009731812,0.005019551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01634997,"threshold_uncertainty_score":0.03250962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0834821662785504,"score_gpt":0.3520088044111954,"score_spread":0.268526638132645,"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."}}