{"id":"W4391742158","doi":"10.47611/jsrhs.v12i3.4927","title":"Assessing the Impacts of COVID-19 on the Restaurant Industry in Developing Countries: Reviews & Lessons","year":2023,"lang":"en","type":"article","venue":"Journal of Student Research","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Earl Haig Secondary School","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; 2019-20 coronavirus outbreak; Developing country; Economics; Economic growth; Virology; 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":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03538164,0.0001350034,0.0005467049,0.001046295,0.0003375354,0.0003085195,0.001079238,0.0001986201,0.000129518],"category_scores_gemma":[0.01381102,0.00008152886,0.0001313182,0.002028974,0.0002077135,0.0002965269,0.0003018891,0.002367297,0.0001477711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368021,"about_ca_system_score_gemma":0.001203623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000430574,"about_ca_topic_score_gemma":0.000200067,"domain_scores_codex":[0.9967444,0.0005123871,0.001423486,0.000211266,0.0005286561,0.0005798307],"domain_scores_gemma":[0.9939383,0.00428341,0.0009506029,0.00047193,0.000180114,0.0001756832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001103058,0.0001965343,0.8212718,0.0004872532,0.0001716438,0.0001358678,0.02213035,0.001207582,0.0001777771,0.05594077,0.09710769,0.0010624],"study_design_scores_gemma":[0.0007439003,0.0001090842,0.5361845,0.0008019638,0.000005148549,0.00002143831,0.005253663,0.00005048432,0.00005452645,0.005642196,0.4509907,0.0001423021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8614546,0.002544269,0.0001378377,0.1345269,0.0001901701,0.0004219331,0.00001155655,0.000005443703,0.0007072784],"genre_scores_gemma":[0.9789538,0.01809917,0.00003484045,0.002476706,0.0001558937,0.00001459066,9.38338e-7,0.00001780412,0.0002462141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.353883,"threshold_uncertainty_score":0.9999343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6022058843983894,"score_gpt":0.5479427500005603,"score_spread":0.05426313439782915,"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."}}