{"id":"W4306292699","doi":"10.1007/s10997-022-09645-6","title":"Not all bad news is harmful to a good reputation: evidence from the most visible companies in the US","year":2022,"lang":"en","type":"article","venue":"Journal of Management & Governance","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Reputation; Credibility; Accounting; Argument (complex analysis); Corporate social responsibility; Business; Empirical evidence; Sample (material); Public relations; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.003241918,0.0001757294,0.0002758537,0.00009264023,0.0003692802,0.0005848467,0.001237126,0.00001987236,0.0003151206],"category_scores_gemma":[0.001035444,0.0001250524,0.0001534684,0.001303997,0.00003477096,0.001146627,0.0008346302,0.0004137543,0.00004302859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002601861,"about_ca_system_score_gemma":0.00006194809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003260903,"about_ca_topic_score_gemma":0.001281201,"domain_scores_codex":[0.9968513,0.0001254449,0.000910831,0.0002942396,0.001542408,0.0002757452],"domain_scores_gemma":[0.9964053,0.0003953988,0.002512404,0.0004783561,0.0001931205,0.0000154289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00205216,0.0006675496,0.5427425,0.0002191978,0.0004645452,0.001938653,0.00850287,0.03814324,0.000573012,0.01112279,0.2945728,0.09900071],"study_design_scores_gemma":[0.0004549179,0.00004831334,0.5297922,0.0001717264,0.0001089378,0.000009540885,0.004360609,0.0008950667,0.00001166093,0.002272346,0.4617076,0.0001670511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9237438,0.0005798659,0.0003657489,0.07103208,0.0006096553,0.0006019441,0.000008555094,0.00001745503,0.003040877],"genre_scores_gemma":[0.9630277,0.0001206802,0.0003575201,0.03499974,0.0006684541,0.00003166839,0.00000222587,0.00001860379,0.0007733674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1671348,"threshold_uncertainty_score":0.563969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04477320324881442,"score_gpt":0.2838184319955257,"score_spread":0.2390452287467113,"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."}}