{"id":"W4391855082","doi":"10.2139/ssrn.4714776","title":"Generative Artificial Intelligence and Evaluating Strategic Decisions","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Download; Computer science; Generative grammar; World Wide Web; Generative model; Data science; Artificial intelligence","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":[0.008886621,0.001164454,0.001468356,0.003714473,0.0007293188,0.005021995,0.001683796,0.0025554,0.004406901],"category_scores_gemma":[0.05529536,0.000887517,0.001274573,0.003141426,0.007359828,0.005714454,0.001822186,0.001953281,0.0003400035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003552315,"about_ca_system_score_gemma":0.002290074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005796313,"about_ca_topic_score_gemma":0.006929654,"domain_scores_codex":[0.9919093,0.006362446,0.0002428608,0.0005058517,0.000743619,0.0002358346],"domain_scores_gemma":[0.93236,0.06237618,0.001827305,0.0019467,0.001009582,0.0004802557],"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":[0.0001421943,0.0001232622,0.009014312,0.0002634089,0.000298582,0.000260965,0.001004842,0.3084192,0.0003273275,0.619938,0.001513028,0.05869479],"study_design_scores_gemma":[0.0000205438,0.00002637937,0.0008015902,0.00003462853,0.00002965785,0.00004676856,0.0001602293,0.243702,0.0001630633,0.7543599,0.000638466,0.00001684],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2452333,0.004377685,0.7029676,0.007793558,0.0002977277,0.0002420996,0.0003348486,0.0005655517,0.0381876],"genre_scores_gemma":[0.9488531,0.0006990497,0.04831147,0.000272932,0.00009241542,0.0001061285,0.0001699011,0.00006487742,0.001430198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008886621,"threshold_uncertainty_score":0.04699749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1716702368581636,"score_gpt":0.3628018763092076,"score_spread":0.191131639451044,"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."}}