{"id":"W4403025198","doi":"10.1080/00076791.2024.2409523","title":"Deeply Responsible Business","year":2024,"lang":"en","type":"article","venue":"Business History","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Business history; Business; Commerce; Economics; Management","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":[0.003070262,0.0005823142,0.0002958914,0.000688469,0.004644559,0.009092222,0.0004821876,0.003470832,0.01263875],"category_scores_gemma":[0.009266599,0.0003002766,0.0002756029,0.000596644,0.009419203,0.008207419,0.003522471,0.006587755,0.004902686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004348819,"about_ca_system_score_gemma":0.006237191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004791589,"about_ca_topic_score_gemma":0.007935351,"domain_scores_codex":[0.9954104,0.001467225,0.0001238607,0.0005715743,0.001716644,0.0007102715],"domain_scores_gemma":[0.9958467,0.001341442,0.0003381949,0.0004520164,0.0008513756,0.001170259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00000856683,0.00001504362,0.0001734611,0.00004253828,0.000004327853,0.00005733904,0.002130758,0.00004817875,0.0001266139,0.527301,0.4485682,0.02152413],"study_design_scores_gemma":[0.000002054303,0.000005152592,0.0001564707,0.00007761725,0.000001037875,0.00005645224,0.0006820369,0.00003989732,0.00007164682,0.06626981,0.932632,0.00000589107],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002751374,0.02873301,0.00650585,0.3231727,0.01326647,0.00004217858,0.00006505466,0.000173974,0.6252894],"genre_scores_gemma":[0.1713473,0.02176589,0.002841989,0.1726257,0.006431538,0.0000793892,0.0001005974,0.0002686213,0.624539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01263875,"threshold_uncertainty_score":0.04228085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03079407618530652,"score_gpt":0.306607339794239,"score_spread":0.2758132636089325,"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."}}