{"id":"W3200613956","doi":"10.22230/cjc.2021v46n3a4129","title":"Fake Geek Girls: Fandom, Gender, and the Convergence Culture Industry.","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geek; Fandom; Convergence (economics); Sociology; Gender studies; Advertising; Media studies; Business; Economics; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002777712,0.000259548,0.0002993137,0.00141061,0.003689889,0.005276831,0.000476843,0.001116663,0.01276435],"category_scores_gemma":[0.01193411,0.0001920159,0.0001531954,0.0008453666,0.003524905,0.002293366,0.002298849,0.001499751,0.0008600225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009489037,"about_ca_system_score_gemma":0.001177376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008962359,"about_ca_topic_score_gemma":0.02125401,"domain_scores_codex":[0.9979528,0.001095269,0.00004995674,0.000146641,0.0004009632,0.0003543827],"domain_scores_gemma":[0.991739,0.004359608,0.001508457,0.0003661211,0.0008042579,0.001222495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004626065,0.0004887187,0.4659144,0.0001384299,0.00006842236,0.002245044,0.3819107,0.00007846368,0.0008845755,0.03183953,0.01205589,0.1039132],"study_design_scores_gemma":[0.00002924582,0.0001241458,0.2583826,0.0002669213,0.00004026588,0.001292331,0.7068752,0.0003114421,0.0004022977,0.004633723,0.02759757,0.00004431969],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525524,0.001001156,0.0001502292,0.003586729,0.00009748995,0.00001067787,0.00004387985,0.000006591692,0.04255081],"genre_scores_gemma":[0.9961798,0.0002145672,0.00004254953,0.0002296289,0.00001958603,0.000005375162,0.00001285824,0.000008270123,0.003287349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01276435,"threshold_uncertainty_score":0.04270107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03563275691038621,"score_gpt":0.2996982605806274,"score_spread":0.2640655036702412,"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."}}