{"id":"W4414314901","doi":"10.3983/twc.2025.2639","title":"Surviving Armageddon (aka COVID-19) through \"Good Omens: Lockdown\" fan fiction","year":2025,"lang":"en","type":"article","venue":"Transformative Works and Cultures","topic":"Media Influence and Health","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chose; Conversation; Identity (music); Situational ethics; Phone; Demon; Queer; Metis","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002464828,0.0001939874,0.0002427239,0.0000689839,0.001123448,0.0002564705,0.0001014935,0.00008524269,0.001088934],"category_scores_gemma":[0.00002637566,0.0001389811,0.00007020102,0.00006775891,0.0002469698,0.0007584565,0.00001181763,0.0003148384,0.00002419669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005184525,"about_ca_system_score_gemma":0.00007212302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006654356,"about_ca_topic_score_gemma":0.002841988,"domain_scores_codex":[0.9989606,0.00008148603,0.0003111695,0.0001925783,0.0001610755,0.0002931275],"domain_scores_gemma":[0.9995435,0.00009660549,0.00006676663,0.0001057538,0.00007508566,0.000112251],"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":[0.00009617199,0.00008545997,0.0005467487,0.0006325041,0.0001066812,0.000003291432,0.6106264,0.00007056341,0.0000538287,0.3330963,0.04579201,0.008890095],"study_design_scores_gemma":[0.0007751926,0.00008850214,0.0005604116,0.0002891824,0.00005025317,0.000002214556,0.1053462,0.00006260343,0.00017017,0.007182961,0.8852418,0.0002304761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1391088,0.01041056,0.01828291,0.0153669,0.001663645,0.00154247,0.0002126766,0.0005079479,0.8129041],"genre_scores_gemma":[0.9843461,0.003002167,0.00006506595,0.008587888,0.0002403975,0.00007343847,0.00006244268,0.000009725096,0.003612755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8452373,"threshold_uncertainty_score":0.9998242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04012763205452886,"score_gpt":0.322917635206816,"score_spread":0.2827900031522872,"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."}}