{"id":"W4390883267","doi":"10.33423/jabe.v25i7.6723","title":"The Study on the Impact of Business Artificial Intelligence Innovation on Fair Value Investments in the United States","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Investment (military); Business; Perception; Investment decisions; Value (mathematics); Marketing; Industrial organization; Finance; Economics; Behavioral economics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001842727,0.0001447478,0.0002792048,0.0004648432,0.0001511508,0.0002644614,0.0003127186,0.00004253954,0.000005114063],"category_scores_gemma":[0.00006880138,0.0000777868,0.0000543302,0.001307258,0.00008289048,0.0001403253,0.00003864088,0.0002295326,0.00001379281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001071435,"about_ca_system_score_gemma":0.00004599954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002459935,"about_ca_topic_score_gemma":0.00002178671,"domain_scores_codex":[0.9986707,0.00001617133,0.000946098,0.0001583457,0.00004846404,0.0001602494],"domain_scores_gemma":[0.9988928,0.0002256016,0.0005630472,0.000208142,0.00009719278,0.00001326157],"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":[0.0002395147,0.0002786132,0.001835473,0.00001744265,0.0000920914,0.000003776493,0.001580472,0.0753422,0.000002412167,0.9113329,0.0001912275,0.009083855],"study_design_scores_gemma":[0.0003291589,0.0004397892,0.3971188,0.00008653261,0.00001996877,0.000003428934,0.00473401,0.01577688,0.00004354292,0.5749765,0.006243994,0.0002273909],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995753,0.0001307562,0.0006301996,0.001574737,0.0003445812,0.0003596236,0.00002043922,0.000003089536,0.00118355],"genre_scores_gemma":[0.9979721,0.001550672,0.00001218891,0.0002886444,0.0001347122,0.00001645288,0.00000526924,0.00001311745,0.000006809741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3952833,"threshold_uncertainty_score":0.3172053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05522175166660916,"score_gpt":0.2636484809694822,"score_spread":0.208426729302873,"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."}}