{"id":"W2044832095","doi":"10.1177/0007650306297942","title":"Integrating and Unifying Competing and Complementary Frameworks","year":2007,"lang":"en","type":"article","venue":"Business & Society","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":404,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Construct (python library); Corporate social responsibility; Stakeholder; Business ethics; Accountability; Field (mathematics); Confusion; Value (mathematics); Sociology; Sustainability; Political science; Public relations; Business; Knowledge management; Computer science; Psychology","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":[0.002303,0.0002396566,0.0002942409,0.00007313515,0.0007313837,0.0004695602,0.0001187737,0.0001862375,0.00004481216],"category_scores_gemma":[0.0006494643,0.0002388614,0.00007966486,0.0008651345,0.0002216724,0.000784793,0.0005081874,0.0004947553,0.000004752486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006553665,"about_ca_system_score_gemma":0.00003581921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00160275,"about_ca_topic_score_gemma":0.0006846209,"domain_scores_codex":[0.9982827,0.00001266188,0.0005471398,0.000425246,0.0002851387,0.0004470972],"domain_scores_gemma":[0.998584,0.0003264073,0.0004786522,0.0001833829,0.0003996058,0.00002799821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007123223,0.00008236024,0.8123103,0.0008813365,0.0000828402,0.00003983947,0.003456724,0.00001646373,0.005610605,0.01171079,0.0006737622,0.1650638],"study_design_scores_gemma":[0.001072726,0.000007869545,0.9030371,0.0004948563,0.0001371862,0.00002695916,0.05448052,0.009227769,0.00006505646,0.009694519,0.02087525,0.0008801586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985612,0.0002785578,0.009779814,0.001120548,0.0002352582,0.0002655784,0.000001163959,0.0001976932,0.002509392],"genre_scores_gemma":[0.9865854,0.00002428674,0.009832117,0.002550733,0.0009145343,0.000003971212,0.00002694392,0.00003683604,0.00002517233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1641836,"threshold_uncertainty_score":0.9740484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02520846172542634,"score_gpt":0.2736310156591913,"score_spread":0.2484225539337649,"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."}}