{"id":"W3114310941","doi":"10.1016/j.ssaho.2020.100097","title":"When the gigs are gone: Valuing arts, culture and media in the COVID-19 pandemic","year":2020,"lang":"en","type":"article","venue":"Social Sciences & Humanities Open","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance; University of Ottawa","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); The arts; Sustainability; Value (mathematics); Social media; Public relations; Creative economy; Political science; 2019-20 coronavirus outbreak; Sociology; Creativity; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002413348,0.0001309577,0.0001825803,0.00001908236,0.005859107,0.001985446,0.001821286,0.00009749833,0.0006338302],"category_scores_gemma":[0.0006832106,0.00007123108,0.00004196353,0.0004689241,0.00231927,0.0005952612,0.0004030972,0.0003094055,0.0000115213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001655262,"about_ca_system_score_gemma":0.0004524453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01533029,"about_ca_topic_score_gemma":0.1185582,"domain_scores_codex":[0.9979999,0.0004170946,0.0002110819,0.0002971893,0.0006700695,0.0004046653],"domain_scores_gemma":[0.999313,0.0003302652,0.0001411616,0.00006708781,0.00005015744,0.00009833054],"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":[0.000005364225,0.000006535073,0.009227174,0.000004195207,0.000005349087,0.000003659959,0.6964712,0.00000124681,0.000002282468,0.05091493,0.2419993,0.001358735],"study_design_scores_gemma":[0.00009609541,0.00001405046,0.002591302,0.000006256089,0.000005489589,8.617063e-7,0.4317255,0.000001608223,3.146343e-7,0.006376988,0.5590914,0.00009016768],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1578036,0.002343596,0.000008596792,0.5928189,0.0005744861,0.002274117,0.0000548972,0.0001293694,0.2439924],"genre_scores_gemma":[0.9375052,0.0004396386,0.00005084731,0.05252292,0.001341367,0.00009775656,0.000008763514,0.000007949658,0.008025527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7797016,"threshold_uncertainty_score":0.9990506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4091712767376146,"score_gpt":0.3963792175637478,"score_spread":0.01279205917386678,"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."}}