{"id":"W4413558190","doi":"10.1080/08956308.2025.2532316","title":"The Economics of Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Research-Technology Management","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002672788,0.0001144392,0.0001737581,0.0008937188,0.000385819,0.0001398647,0.003894515,0.0001095509,0.000006239827],"category_scores_gemma":[0.0002067943,0.00009224476,0.0000623005,0.002308919,0.001025589,0.00009790969,0.004902659,0.000409935,0.00007376511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001809344,"about_ca_system_score_gemma":0.00008840966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001676708,"about_ca_topic_score_gemma":0.00005174704,"domain_scores_codex":[0.9980325,0.0001594222,0.0004288316,0.0005413258,0.0002707326,0.0005672175],"domain_scores_gemma":[0.9974433,0.0004761913,0.00006737264,0.001758559,0.0002195177,0.00003507371],"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":[0.000003626924,0.0000487244,0.00003543668,0.00001626313,0.00002763171,0.000004150152,0.00001569667,0.0001874228,0.00001215999,0.5624312,0.0002251812,0.4369925],"study_design_scores_gemma":[0.00003992328,0.00009561113,0.0002433935,0.00001767489,0.000003370612,0.000001244174,0.000363407,0.08878534,0.004251002,0.8882508,0.01787313,0.00007508115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01151678,0.0005746901,0.9351822,0.03693093,0.0005717066,0.0008291978,9.646128e-7,0.0002798585,0.01411365],"genre_scores_gemma":[0.9359373,0.001251685,0.06090171,0.00008743976,0.00003325378,0.0001961119,6.378048e-7,0.000009922896,0.00158192],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9244205,"threshold_uncertainty_score":0.7237043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05654731197569177,"score_gpt":0.3617897163515902,"score_spread":0.3052424043758984,"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."}}