{"id":"W3017104386","doi":"10.2139/ssrn.3578167","title":"Corporate Resilience and Response During COVID-19","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"TD Bank Group","funders":"","keywords":"Business; Repurposing; Supply chain; Coronavirus disease 2019 (COVID-19); Resilience (materials science); Pandemic; Salient; Psychological resilience; Crash; Industrial organization; Marketing","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":[0.002641561,0.0002105815,0.0002643323,0.0006396823,0.0009714007,0.003623091,0.0004552766,0.002202702,0.008848417],"category_scores_gemma":[0.01168252,0.000114296,0.0002669725,0.0006699644,0.001275527,0.001835943,0.002473773,0.002458416,0.0006382862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003587983,"about_ca_system_score_gemma":0.002115357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02958724,"about_ca_topic_score_gemma":0.02953014,"domain_scores_codex":[0.9986175,0.0002376939,0.00004467729,0.00009411501,0.0002282307,0.0007777454],"domain_scores_gemma":[0.9951684,0.001013974,0.001233294,0.0002199156,0.0008584129,0.001505906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001709284,0.0006862424,0.3825295,0.000329936,0.0002441661,0.003746004,0.007165457,0.02698825,0.00132777,0.3167988,0.1880902,0.07038435],"study_design_scores_gemma":[0.0001080891,0.0007535902,0.7135342,0.0005315375,0.0001020947,0.0004245082,0.04062217,0.01721349,0.0011516,0.09231582,0.1330922,0.0001506838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8287756,0.001486979,0.0008632065,0.06500443,0.0007330041,0.0000988692,0.002083445,0.00005277123,0.1009018],"genre_scores_gemma":[0.9945483,0.0001750582,0.00004542131,0.00109968,0.00009676092,0.0000150954,0.0002050172,0.000006503495,0.003808235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02958724,"threshold_uncertainty_score":0.05883002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04785456547749005,"score_gpt":0.2589415493199488,"score_spread":0.2110869838424588,"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."}}