{"id":"W2732643434","doi":"10.2139/ssrn.2995283","title":"Automation, Computerisation and Future Employment In Singapore","year":2016,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Automation; Business; Labour economics; Demographic economics; Operations management; Economic growth; Engineering; Economics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001863548,0.0001248385,0.0001605351,0.0001479769,0.0002622566,0.0002715631,0.0001676358,0.000201507,0.000017207],"category_scores_gemma":[0.00001142749,0.0001098921,0.00005645594,0.00007408168,0.00006520598,0.000564574,0.00003740891,0.001002306,0.000007822389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456686,"about_ca_system_score_gemma":0.002253165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001179392,"about_ca_topic_score_gemma":0.004600572,"domain_scores_codex":[0.9982914,0.0001290682,0.0003310158,0.0001586602,0.0001968785,0.0008930007],"domain_scores_gemma":[0.9995629,0.00002569483,0.0002178456,0.00007275568,0.00005711109,0.00006367531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001154024,0.0000248391,0.001909022,0.00001118435,0.00003443737,7.493402e-7,0.005725171,0.00002720775,6.077268e-7,0.4785572,0.00006339222,0.5136347],"study_design_scores_gemma":[0.0003805474,0.00004830644,0.00360359,0.0001447066,0.00001102221,0.00001594196,0.004288581,0.00008632738,0.000002160509,0.9509103,0.04030589,0.0002025736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.805715,0.005470047,0.06201005,0.06488789,0.003172662,0.001177473,0.00001913913,0.0002152722,0.05733252],"genre_scores_gemma":[0.9868228,0.01143443,0.00008089194,0.00007294516,0.001252628,0.00000858473,0.00001583851,0.000009383901,0.0003024319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5134321,"threshold_uncertainty_score":0.4481271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008728322349388012,"score_gpt":0.2558814951545683,"score_spread":0.2471531728051803,"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."}}