{"id":"W4386451621","doi":"10.2139/ssrn.4546112","title":"Artificial Intelligence and Corporate Investment Decision","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"","keywords":"Business; Artificial intelligence; Investment (military); Computer science; Political science","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":[0.001879419,0.0003334018,0.0004957686,0.001580983,0.0005701681,0.0044046,0.0003599577,0.001941948,0.007656985],"category_scores_gemma":[0.009170545,0.0001945308,0.0002346413,0.001793176,0.002931642,0.003130168,0.0006832702,0.002183676,0.0004262839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002113336,"about_ca_system_score_gemma":0.00131107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003948807,"about_ca_topic_score_gemma":0.004399257,"domain_scores_codex":[0.9990409,0.0005680159,0.00003431073,0.00008652163,0.0001736878,0.00009661727],"domain_scores_gemma":[0.9867093,0.01136337,0.0009789385,0.0001757929,0.0004093169,0.0003631699],"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":[0.0001605303,0.0002470479,0.009773862,0.0002774987,0.0001422804,0.0003079673,0.0004147154,0.02181934,0.00013905,0.8993167,0.01504441,0.05235652],"study_design_scores_gemma":[0.0000199396,0.00002091618,0.003306837,0.0001075172,0.00001555546,0.00004930178,0.0003453962,0.01131889,0.00006189929,0.973421,0.01131748,0.00001536445],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2257427,0.06391734,0.03294624,0.1668101,0.002101173,0.00009249016,0.0005994274,0.00007768482,0.5077128],"genre_scores_gemma":[0.9758697,0.01069893,0.00185927,0.002275435,0.0007013861,0.00002653851,0.00008308622,0.00001056838,0.008475058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007656985,"threshold_uncertainty_score":0.02561522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.191506377582725,"score_gpt":0.3748395679232648,"score_spread":0.1833331903405398,"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."}}