{"id":"W4318658240","doi":"10.1386/jfs_00048_1","title":"Vaporwar and military contents fandom","year":2022,"lang":"en","type":"article","venue":"The Journal of Fandom Studies","topic":"Digital Games and Media","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Fandom; Citizen journalism; Media studies; Participatory culture; Sociology; Advertising; Political science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001629238,0.00005912135,0.0002300214,0.00003436804,0.0004484471,0.00001131883,0.0001856935,0.000009003183,0.00002570212],"category_scores_gemma":[0.0004974579,0.00003401806,0.000070002,0.00008875627,0.0003655177,0.000117292,0.0001441435,0.0001464818,0.000001115332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000450711,"about_ca_system_score_gemma":0.00004326524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008852994,"about_ca_topic_score_gemma":0.0001349316,"domain_scores_codex":[0.9989228,0.000252204,0.0002127725,0.00004432851,0.0004204033,0.0001475487],"domain_scores_gemma":[0.9990944,0.0005349703,0.000134785,0.00005270655,0.0001197675,0.00006336209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003276976,0.0002847858,0.009589279,0.00004044375,0.001845603,0.0001687726,0.6587708,0.0001040382,0.0002954029,0.003165173,0.1035473,0.2189115],"study_design_scores_gemma":[0.003206699,0.0003882171,0.00264614,0.00002861458,0.0001460622,0.00005161583,0.3540335,0.000002007773,0.0000178528,0.002747661,0.6366359,0.00009578449],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8929697,0.07960422,0.000005518072,0.005543449,0.00111643,0.0001558532,0.000007415734,0.000007809186,0.02058961],"genre_scores_gemma":[0.97643,0.01671276,0.00001787667,0.0003904516,0.0002075671,0.000003331594,1.25091e-7,0.000003681939,0.006234215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5330886,"threshold_uncertainty_score":0.3449138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05198080233311408,"score_gpt":0.3305233628783709,"score_spread":0.2785425605452568,"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."}}