{"id":"W3114041075","doi":"","title":"The Impact of Digitalization on the Economy: A Review Article on the NBER Volume \"Economics of Artificial Intelligence: An Agenda\"","year":2020,"lang":"en","type":"review","venue":"RePEc: Research Papers in Economics","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Volume (thermodynamics); Economics; Data science; Classical economics; Computer 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":[0.0009058875,0.0007499362,0.001132407,0.003917546,0.0004472545,0.002050424,0.0004270306,0.001589017,0.004932878],"category_scores_gemma":[0.00184773,0.0002645842,0.0005861533,0.008548585,0.0006438277,0.002214952,0.0006792351,0.001770337,0.001870897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001958241,"about_ca_system_score_gemma":0.003483537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004293356,"about_ca_topic_score_gemma":0.007233103,"domain_scores_codex":[0.9995747,0.00008802373,0.00003789632,0.00005661352,0.000205269,0.00003739607],"domain_scores_gemma":[0.9987934,0.0006690652,0.0001269773,0.00002062752,0.0003379937,0.00005192108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008684315,0.00007720675,0.0004991124,0.0214152,0.0001935063,0.0001344926,0.0001639671,0.000581015,0.0007433279,0.02603369,0.2984022,0.6516695],"study_design_scores_gemma":[0.00001091476,0.00004411137,0.001349363,0.01070144,0.0001108325,0.0001843428,0.0001196686,0.00007412062,0.0001877538,0.003612421,0.9835883,0.00001660359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009582854,0.9950235,0.00003936093,0.002084433,0.0008777772,0.000002660467,0.00001889974,0.000002648223,0.001855009],"genre_scores_gemma":[0.0006979015,0.9967283,0.00004870612,0.0007497952,0.0007346473,0.000002847973,0.00002061016,0.000001319701,0.001015973],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004932878,"threshold_uncertainty_score":0.01650214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1511674084022574,"score_gpt":0.4242572680631495,"score_spread":0.2730898596608922,"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."}}