{"id":"W4384155299","doi":"10.1126/science.adh9429","title":"Do we want less automation?","year":2023,"lang":"en","type":"article","venue":"Science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Automation; Data science; Computer science; Engineering","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":[0.01249709,0.0007672855,0.0009025283,0.00165947,0.002868476,0.007690737,0.002426235,0.003857512,0.03850276],"category_scores_gemma":[0.0344119,0.0002869854,0.0009202969,0.001758107,0.01139266,0.01529385,0.004760635,0.008019282,0.009456855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002299515,"about_ca_system_score_gemma":0.004592401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005470188,"about_ca_topic_score_gemma":0.005148132,"domain_scores_codex":[0.9921183,0.003789026,0.0002502638,0.001084309,0.001658723,0.001099382],"domain_scores_gemma":[0.967849,0.01475513,0.002609125,0.006306922,0.004649593,0.003830193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003403922,0.0003106042,0.007292137,0.0007003633,0.0001765949,0.0001100222,0.002028473,0.001152605,0.001027921,0.7231907,0.1037647,0.1599056],"study_design_scores_gemma":[0.00008101764,0.0001126092,0.004254825,0.0005285704,0.00003671572,0.000105926,0.001198484,0.0008584436,0.0006536336,0.7621523,0.2299764,0.00004105477],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01770492,0.01352845,0.0401792,0.7767546,0.003572816,0.00005725571,0.0005559608,0.0008064634,0.1468404],"genre_scores_gemma":[0.6675283,0.01901455,0.05607153,0.1718643,0.01005758,0.0003828876,0.0007731247,0.000921098,0.07338668],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03850276,"threshold_uncertainty_score":0.1288046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0512034646087249,"score_gpt":0.2728742343232276,"score_spread":0.2216707697145027,"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."}}