{"id":"W2887090184","doi":"10.2139/ssrn.2960470","title":"Job Tasks, Time Allocation, and Wages","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; Spencer Foundation; Andrew W. Mellon Foundation; National Science Foundation","keywords":"Time allocation; Labour economics; Computer science; Economics; Management","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001402217,0.00005085602,0.00006635772,0.00002895877,0.00161791,0.0005138342,0.0002227875,0.00004247734,0.00004206933],"category_scores_gemma":[0.00007775119,0.00004780171,0.00002965953,0.00002196053,0.0001452234,0.00130508,0.00001077873,0.0003138158,0.00009009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001785489,"about_ca_system_score_gemma":0.0007808142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001954293,"about_ca_topic_score_gemma":0.003226649,"domain_scores_codex":[0.9989508,0.00003183908,0.0001115611,0.00006851595,0.0001081538,0.0007291703],"domain_scores_gemma":[0.9996883,0.00001768827,0.000100637,0.00008477481,0.00004242552,0.00006616818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007420522,0.00001065995,0.002814486,0.000001366565,0.0000319703,3.977849e-7,0.001257576,0.000001517257,0.00001047721,0.7574143,0.0002489095,0.2382009],"study_design_scores_gemma":[0.0005110108,0.0001062478,0.01045068,0.00002420036,0.00002364622,0.00004464338,0.004049775,0.00003583575,0.00003486367,0.8285547,0.1559522,0.000212116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5274493,0.001610093,0.002041654,0.02771643,0.0002596023,0.0001842584,0.000002330709,0.00005147929,0.4406849],"genre_scores_gemma":[0.9867181,0.004266039,0.00001892828,0.00005721392,0.000213128,0.000001441724,0.000001137229,0.000003952613,0.008720058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4592689,"threshold_uncertainty_score":0.9996818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007434537512123239,"score_gpt":0.2542041451183829,"score_spread":0.2467696076062597,"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."}}