{"id":"W4392643322","doi":"10.1080/13662716.2024.2328002","title":"Hampered by creation: the unintended consequences of COVID-19 policies on creative firms","year":2024,"lang":"en","type":"article","venue":"Industry and Innovation","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Circus School; Toronto Metropolitan University","funders":"","keywords":"Business; Coronavirus disease 2019 (COVID-19); Government (linguistics); Unintended consequences; Work (physics); Revenue; Entertainment; Pandemic; Ambidexterity; Subsidy; Marketing; Creative industries; Public relations; Economics; Market economy; Political science; Finance; Knowledge management","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":[],"consensus_categories":[],"category_scores_codex":[0.0004116606,0.00007132713,0.00007792361,0.00008427691,0.0004207187,0.0001277818,0.00008259522,0.0002015999,0.0005507949],"category_scores_gemma":[0.0005259485,0.00004486474,0.00001251409,0.001284786,0.001224964,0.0001578967,0.00001514353,0.0002652688,0.000002636299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031327,"about_ca_system_score_gemma":0.0004222225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004074562,"about_ca_topic_score_gemma":0.00008808391,"domain_scores_codex":[0.9993042,0.00007549563,0.0001972754,0.0001215659,0.0001927503,0.000108743],"domain_scores_gemma":[0.9995588,0.0001296449,0.00007365722,0.00005443418,0.0001451743,0.00003830463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001523505,0.00001297389,0.001091591,0.00001092844,0.00002979432,0.000001367573,0.01350785,0.000006428454,0.001105934,0.6236713,0.3518724,0.008674282],"study_design_scores_gemma":[0.00008708001,0.00005897275,0.0009354902,0.00006829978,0.000007572107,0.000002316537,0.0441591,0.000009937353,0.005414217,0.009030935,0.9401382,0.00008789884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5593244,0.0003823642,0.00005598388,0.3484929,0.0003078441,0.000335192,0.00007288026,0.00008413362,0.09094429],"genre_scores_gemma":[0.948458,0.00007419423,0.000007714278,0.001344254,0.0001159244,0.00001355656,0.00003200585,0.000002598162,0.04995175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6146404,"threshold_uncertainty_score":0.6159547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1008252295498408,"score_gpt":0.3750040997226416,"score_spread":0.2741788701728008,"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."}}