{"id":"W4328095697","doi":"10.54691/bcpbm.v38i.3938","title":"Game Industry in Long-term Uncertain Situation: A Normalized Covid-19 Pandemic Perspective","year":2023,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Stock (firearms); China; Economics; 2019-20 coronavirus outbreak; Yield (engineering); Financial economics; Outbreak; Geography","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":[0.0007679497,0.0004993872,0.0005599388,0.001299841,0.0007592769,0.003217599,0.0009220659,0.001681965,0.004887353],"category_scores_gemma":[0.003197368,0.0002554101,0.000552108,0.001058156,0.001411511,0.004520438,0.001621626,0.002178093,0.0003320175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001884838,"about_ca_system_score_gemma":0.001166904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01540374,"about_ca_topic_score_gemma":0.01129332,"domain_scores_codex":[0.9995981,0.00008880947,0.00001730866,0.00008549117,0.00008454272,0.0001258669],"domain_scores_gemma":[0.9987739,0.0003883177,0.0003798823,0.00005858958,0.0002512009,0.0001481041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001994558,0.0002750693,0.1139743,0.0003780409,0.0002644739,0.004997743,0.001001247,0.2503331,0.002720738,0.5709547,0.01056909,0.04433214],"study_design_scores_gemma":[0.00001470924,0.0002547536,0.05607291,0.0001894696,0.0001578438,0.001414175,0.0033308,0.5739689,0.0007997756,0.3471061,0.01654373,0.0001467331],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7329853,0.01305409,0.1028487,0.02316227,0.0009123205,0.000105085,0.001639074,0.0001889034,0.1251042],"genre_scores_gemma":[0.9930645,0.002078393,0.0009772613,0.0002064212,0.0001633641,0.000009795865,0.0001212958,0.00001093499,0.003368081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01540374,"threshold_uncertainty_score":0.0306282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104954292412227,"score_gpt":0.3345054014821582,"score_spread":0.2295511090699311,"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."}}