{"id":"W4379527299","doi":"10.2139/ssrn.4453875","title":"Business Intelligence Leveraging Regression Models, Artificial Intelligence, Business Intelligence and Strategy","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Business intelligence; Computer science; Artificial intelligence; Business analytics; Knowledge management; Business; Business model; Business analysis; Marketing","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002992383,0.0007384708,0.0006198546,0.001363339,0.001108473,0.001470139,0.001410495,0.000294126,0.0002061769],"category_scores_gemma":[0.0004755777,0.0006270703,0.0001443876,0.006018004,0.0003734673,0.004550979,0.0007492949,0.002168114,0.0007359461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000323675,"about_ca_system_score_gemma":0.00100432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086969,"about_ca_topic_score_gemma":0.001033412,"domain_scores_codex":[0.9932411,0.00005391184,0.001207832,0.001013954,0.0009365478,0.003546685],"domain_scores_gemma":[0.9971889,0.000143253,0.0006605176,0.0006037254,0.001319326,0.00008433677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001715014,0.0001270143,0.0005052791,0.0001879171,0.00007658752,0.00005592324,0.0001019553,0.02497491,0.0002724961,0.4751333,0.000304473,0.4980886],"study_design_scores_gemma":[0.00007362458,0.00003632859,0.001060656,0.0004454643,0.00009877408,0.0003520772,0.005494024,0.1124712,0.0003736468,0.8763781,0.002299919,0.000916131],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1235107,0.003122335,0.8637534,0.003290625,0.002201037,0.0005450499,0.00001009909,0.0006464759,0.002920309],"genre_scores_gemma":[0.9829937,0.01314056,0.0002013342,0.0003102114,0.002306209,0.00002487737,0.00009478922,0.0001136354,0.0008146581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.863552,"threshold_uncertainty_score":0.9996181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.099076216244567,"score_gpt":0.3002179104869601,"score_spread":0.2011416942423931,"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."}}