{"id":"W3135225171","doi":"10.2139/ssrn.3630471","title":"Technological Innovation and Labor Income Risk","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Labour economics; Business; Economics","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":[0.0009494112,0.0001363709,0.0002971533,0.0008616696,0.0004357502,0.001644102,0.0002064067,0.0008498601,0.006475805],"category_scores_gemma":[0.005302901,0.00009876103,0.0002103908,0.001008597,0.0009509239,0.001248451,0.0009311775,0.001016702,0.00036006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004605387,"about_ca_system_score_gemma":0.0002949976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001687487,"about_ca_topic_score_gemma":0.001735926,"domain_scores_codex":[0.9996662,0.0001284802,0.00001711524,0.00004310209,0.00005263009,0.00009237229],"domain_scores_gemma":[0.9939663,0.004103639,0.001157221,0.0001673704,0.0001401226,0.0004652394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003672876,0.0005315744,0.5758401,0.00009495906,0.0001646252,0.0008624228,0.002085833,0.01790555,0.0008053659,0.3429418,0.003450659,0.05494992],"study_design_scores_gemma":[0.00005292978,0.0002210853,0.4178844,0.000130985,0.00008017549,0.0004662169,0.002894371,0.04639541,0.0003483944,0.525265,0.006214311,0.00004660007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709798,0.002989984,0.003826044,0.005163813,0.00004335054,0.00001470323,0.0002028613,0.00001769851,0.01676174],"genre_scores_gemma":[0.9980433,0.0004817371,0.00008312117,0.00003705749,0.00005593268,0.000002762872,0.0000277329,0.000001671578,0.001266656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006475805,"threshold_uncertainty_score":0.02166373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441402829124258,"score_gpt":0.2137724563678887,"score_spread":0.1993584280766461,"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."}}