{"id":"W4389141314","doi":"10.22495/cgobrv7i4sip4","title":"The interaction between rationality, politics and artificial intelligence in the decision-making process","year":2023,"lang":"en","type":"article","venue":"Corporate Governance and Organizational Behavior Review","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"Université du Québec en Outaouais","keywords":"Rationality; Conceptualization; Big data; Politics; Rational planning model; Corporate governance; Computer science; Process (computing); Management science; Knowledge management; Artificial intelligence; Political science; Management; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01747003,0.0006182295,0.0008326457,0.002809453,0.001537153,0.009137628,0.001205013,0.002532249,0.00190414],"category_scores_gemma":[0.01659513,0.0004803677,0.0006120667,0.003474258,0.02237746,0.008151351,0.002670121,0.003750821,0.0004190261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004652645,"about_ca_system_score_gemma":0.0060151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003368797,"about_ca_topic_score_gemma":0.003154036,"domain_scores_codex":[0.9818856,0.01234309,0.0006895447,0.001036718,0.003175506,0.0008694706],"domain_scores_gemma":[0.9628373,0.03146942,0.002316424,0.001201368,0.001736896,0.0004384652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001227712,0.0000181001,0.0008537199,0.0005870758,0.00005226011,0.00009564519,0.001766472,0.002168853,0.0001545224,0.9634464,0.001189816,0.02965474],"study_design_scores_gemma":[0.00001145019,0.00003765235,0.002326094,0.001357611,0.0000368173,0.0001323914,0.002432282,0.00198949,0.0002900941,0.9120247,0.07931037,0.00005095922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.060819,0.3128268,0.2066137,0.1010366,0.001599356,0.0001968935,0.0001360988,0.0001179881,0.3166536],"genre_scores_gemma":[0.854274,0.1097932,0.02410919,0.005648226,0.001329378,0.0001699367,0.00006488828,0.00005005683,0.004561157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01747003,"threshold_uncertainty_score":0.09239149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05474363522212445,"score_gpt":0.327898364701722,"score_spread":0.2731547294795976,"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."}}