{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001996658,0.0001931828,0.000154122,0.0002979001,0.000423206,0.001448562,0.0002909116,0.00007052963,0.0002528171],"category_scores_gemma":[0.0002143553,0.0001517598,0.0000692162,0.0006448288,0.00008463711,0.001347213,0.0001245687,0.001199318,0.0003554463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00014857,"about_ca_system_score_gemma":0.0006528323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009087147,"about_ca_topic_score_gemma":0.0006077,"domain_scores_codex":[0.9977356,0.00001910056,0.0003688055,0.0003317581,0.0003434032,0.001201296],"domain_scores_gemma":[0.9994521,0.0001071967,0.0001007065,0.0001383907,0.0001828498,0.00001874177],"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":[0.00001556476,0.00001709168,0.00003891508,0.00001278868,0.00003626599,0.00000831425,0.00002431232,0.000118253,0.0005247861,0.7099932,0.0000669693,0.2891435],"study_design_scores_gemma":[0.00002730711,0.00004073407,0.00003125598,0.0001062788,0.00006471371,0.0001878442,0.001775131,0.0571618,0.00009702845,0.938477,0.001834062,0.0001967803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5361815,0.020052,0.4275204,0.006127428,0.002448974,0.0003471258,0.000006853789,0.0002589953,0.007056694],"genre_scores_gemma":[0.994692,0.001958265,0.000325494,0.0002145339,0.002478017,0.000006096943,0.00001144649,0.00002594052,0.0002882219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4585105,"threshold_uncertainty_score":0.999588,"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."}}