{"id":"W2297838214","doi":"10.3983/twc.2016.0684","title":"role of affect in fan fiction","year":2016,"lang":"en","type":"article","venue":"Transformative Works and Cultures","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Affect (linguistics); Hermeneutics; Literature; Feeling; Affect theory; Order (exchange); Literary fiction; History; Frame (networking); Art; Aesthetics; Literary criticism; Sociology; Philosophy; Psychology; Social psychology; Epistemology; Computer science; Communication","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":[0.003032103,0.0004911932,0.0002986641,0.001602155,0.004643371,0.006216035,0.0006586682,0.001342905,0.004731784],"category_scores_gemma":[0.008335093,0.000138293,0.0002530027,0.0007290999,0.009868448,0.003206228,0.002279937,0.001429253,0.0003831637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647595,"about_ca_system_score_gemma":0.0005755161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001221641,"about_ca_topic_score_gemma":0.001061682,"domain_scores_codex":[0.9970936,0.002007273,0.0000597319,0.0001961367,0.0004429445,0.0002001777],"domain_scores_gemma":[0.9937745,0.00415529,0.0007082968,0.0003169844,0.0006130497,0.0004317749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000209204,0.0001397217,0.01808371,0.0005285194,0.00005053227,0.002139847,0.4500713,0.0006475617,0.003944567,0.4396073,0.005748273,0.07882955],"study_design_scores_gemma":[0.00006974499,0.0005743798,0.08598572,0.001184341,0.0001703277,0.005921301,0.2082969,0.002904141,0.007370054,0.153855,0.5334755,0.0001926434],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3069047,0.004363949,0.01132944,0.007422439,0.000901163,0.00005900162,0.00005322275,0.0001367496,0.6688292],"genre_scores_gemma":[0.9911001,0.0004475843,0.0007610344,0.0003496049,0.0002366739,0.00001702369,0.00001134852,0.00002854879,0.007048144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006216035,"threshold_uncertainty_score":0.0160355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007916008289655557,"score_gpt":0.2829006765073164,"score_spread":0.2749846682176609,"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."}}