{"id":"W3043340927","doi":"10.1386/jfs_00007_1","title":"Theorizing comic cons","year":2020,"lang":"en","type":"article","venue":"The Journal of Fandom Studies","topic":"Digital Games and Media","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Calgary; Carleton University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Comics; Fandom; Media studies; Convention; Sociology; Attendance; Prestige; Popular culture; Media event; Hollywood; History; Political science; Literature; Art; Social science; Law; Art history","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002711402,0.0006619794,0.0003083242,0.003273012,0.004949209,0.006162587,0.001488882,0.002286686,0.01645972],"category_scores_gemma":[0.00865692,0.0003635036,0.0003723312,0.002123555,0.02186701,0.009370782,0.005791092,0.002420682,0.001401663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002350428,"about_ca_system_score_gemma":0.001557061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003202832,"about_ca_topic_score_gemma":0.003523782,"domain_scores_codex":[0.9980205,0.0009358003,0.000052675,0.0003327975,0.00033783,0.0003202827],"domain_scores_gemma":[0.9959931,0.002035801,0.0004091211,0.0005234128,0.0006838414,0.0003545223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003695939,0.000006409268,0.0006781158,0.00001501562,0.000001346646,0.00005690953,0.002583056,0.00007011952,0.00002982718,0.9935418,0.0005040373,0.002509621],"study_design_scores_gemma":[0.00001775365,0.00003564273,0.001708301,0.0001627521,0.00001270607,0.0003114291,0.01432456,0.001493162,0.0002450776,0.8772841,0.1043932,0.00001131547],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05874159,0.001090082,0.03069062,0.005327127,0.0002306258,0.00005337086,0.00006097231,0.00004055968,0.903765],"genre_scores_gemma":[0.9609293,0.0007214663,0.004180182,0.0007661637,0.0002190585,0.00008870088,0.00008174423,0.00006193465,0.03295152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01645972,"threshold_uncertainty_score":0.05506331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1041515275979329,"score_gpt":0.3699601432786331,"score_spread":0.2658086156807002,"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."}}