{"id":"W3129712029","doi":"10.1257/aer.20211478","title":"Occupational Exposure to Capital-Embodied Technical Change","year":2023,"lang":"en","type":"article","venue":"American Economic Review","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Technical change; Embodied cognition; Capital (architecture); Technological change; Labour economics; Sorting; Macroeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008715547,0.0003170529,0.001099659,0.0003413637,0.00008691265,0.00004353288,0.0005735832,0.00006715773,0.001466302],"category_scores_gemma":[0.0001178574,0.0003948123,0.000283771,0.0003911217,0.0001675788,0.0002871036,0.0002407788,0.0001540019,0.04635713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005453147,"about_ca_system_score_gemma":0.00003493881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004378371,"about_ca_topic_score_gemma":0.0001189946,"domain_scores_codex":[0.9972028,0.0000333183,0.001210797,0.000941764,0.00003683893,0.0005745401],"domain_scores_gemma":[0.9980065,0.00009027943,0.0007063078,0.0009112677,0.000007820083,0.0002777788],"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":[0.00003913914,0.0001893843,0.2806424,0.0007304883,0.0002799235,0.00002461176,0.0003785679,0.000766993,0.00003603704,0.461011,0.1827504,0.07315102],"study_design_scores_gemma":[0.0003295397,0.0002186556,0.3346564,0.0001946031,0.00001952611,0.00001354311,0.00004083747,0.0001463199,0.000008862508,0.003539972,0.6600329,0.0007989118],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6959872,0.06565812,0.000820643,0.04198118,0.003010711,0.005148225,0.002006965,0.001267457,0.1841196],"genre_scores_gemma":[0.9031419,0.07776541,0.00134156,0.01400726,0.0005645707,0.001179735,0.0002344066,0.0001284021,0.001636754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4772824,"threshold_uncertainty_score":0.9998504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0515150546454908,"score_gpt":0.2693009360841523,"score_spread":0.2177858814386615,"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."}}