{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00598962,0.0005645168,0.0003599191,0.003399051,0.005140826,0.004298719,0.001878812,0.003064863,0.01392208],"category_scores_gemma":[0.0175447,0.0003978319,0.0006998485,0.002288299,0.002840706,0.002929033,0.0033599,0.002687243,0.001307124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007955617,"about_ca_system_score_gemma":0.008924925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008267175,"about_ca_topic_score_gemma":0.0137471,"domain_scores_codex":[0.9906904,0.004526804,0.0006099866,0.0006609556,0.002376582,0.001135338],"domain_scores_gemma":[0.9879594,0.007296199,0.001545051,0.0004548922,0.001757273,0.0009870998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004635824,0.00201979,0.07956009,0.003209976,0.0000870744,0.2188894,0.2151389,0.003578956,0.004115756,0.1398674,0.08088844,0.2521807],"study_design_scores_gemma":[0.00007039702,0.000664662,0.01849596,0.004759818,0.00009560809,0.09087074,0.3561238,0.003741736,0.006317297,0.02323617,0.4954675,0.0001562902],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5834962,0.006352206,0.06195338,0.05674659,0.001618647,0.01049591,0.001623457,0.0002125802,0.2775011],"genre_scores_gemma":[0.8562058,0.005846382,0.05799431,0.00751302,0.0004633727,0.004187276,0.0004561522,0.00007281938,0.06726079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01392208,"threshold_uncertainty_score":0.05772227,"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."}}