{"id":"W4394677790","doi":"10.2139/ssrn.4788236","title":"Heterogeneous Effects of Capital-Embodied Innovation on Labor Market","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Embodied cognition; Labour economics; Business; Capital (architecture); Economics; Geography; 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":[0.001301338,0.0002219715,0.0006030983,0.0007229593,0.0005859022,0.002261283,0.0004292011,0.001111608,0.01306569],"category_scores_gemma":[0.009419092,0.0002037333,0.0004839213,0.0007223099,0.001367864,0.001792106,0.00176221,0.0009626591,0.0004678689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009965156,"about_ca_system_score_gemma":0.0005784031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004577476,"about_ca_topic_score_gemma":0.004885477,"domain_scores_codex":[0.9993722,0.0001520919,0.00002923271,0.00009663713,0.00005762141,0.0002922804],"domain_scores_gemma":[0.9875442,0.008963578,0.001580143,0.0005584295,0.0002808844,0.001072795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003187988,0.002245573,0.6412838,0.0002739256,0.0004777117,0.002311922,0.002420818,0.06298322,0.0181,0.2049098,0.002873485,0.05893171],"study_design_scores_gemma":[0.000186467,0.0005519465,0.839274,0.00005917567,0.0002230848,0.0002171085,0.002452035,0.04618153,0.002288186,0.1067532,0.001738476,0.00007497339],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931031,0.0002093246,0.001163911,0.0005460832,0.00001158589,0.00001071866,0.0001821534,0.00001476223,0.004758305],"genre_scores_gemma":[0.9991731,0.00005961403,0.00006006113,0.00001976828,0.00001561055,0.000002140628,0.00002938084,0.000002376728,0.0006379986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01306569,"threshold_uncertainty_score":0.0437091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008072896676419809,"score_gpt":0.2186643530113785,"score_spread":0.2105914563349587,"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."}}