{"id":"W4367052781","doi":"10.1108/tcj-06-2021-0089","title":"Case analysis: Johnson & Johnson and the COVID-19 vaccine","year":2023,"lang":"en","type":"article","venue":"The CASE Journal","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Accounting; Context (archaeology); Coronavirus disease 2019 (COVID-19); Economics; Competitor analysis; Earnings; Revenue; Cash flow; Revenue recognition; Business; Financial accounting; Accounting information system; Marketing; 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":[0.004514474,0.0002478425,0.0003553746,0.0005104263,0.001955411,0.001077237,0.0003920933,0.00005045932,0.0006730049],"category_scores_gemma":[0.008336126,0.0001400732,0.000234728,0.002417177,0.0001248631,0.0006298132,0.000514613,0.0006023578,0.0004277694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007952054,"about_ca_system_score_gemma":0.00002849731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002272682,"about_ca_topic_score_gemma":0.002186115,"domain_scores_codex":[0.9982605,0.0001341017,0.0004578553,0.0002884286,0.0003970524,0.000462062],"domain_scores_gemma":[0.992842,0.0004365481,0.006069059,0.0004652525,0.0001277455,0.00005943984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006807782,0.00007761505,0.01701624,0.0003178556,0.002597529,0.1489778,0.002066344,0.01733053,0.00004261337,0.01373488,0.7425594,0.05459841],"study_design_scores_gemma":[0.00299343,0.000009272832,0.003399726,0.00002521535,0.002475342,0.03966522,0.001717687,0.01358562,0.000001362183,0.003880929,0.9319067,0.0003394954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9205523,0.0006934921,0.03922664,0.03641631,0.0004064627,0.0003674028,0.000006863982,0.0002170201,0.00211353],"genre_scores_gemma":[0.9854559,0.0005789512,0.00004529671,0.009175077,0.002094457,0.00001666301,0.000008560332,0.00003709312,0.002587949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1893473,"threshold_uncertainty_score":0.9999598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02580805088216082,"score_gpt":0.2638222755762136,"score_spread":0.2380142246940528,"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."}}