{"id":"W4312265008","doi":"10.2139/ssrn.4260700","title":"AI, Skill, and Productivity: The Case of Taxi Drivers","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Productivity; Context (archaeology); Labour economics; Business; Demographic economics; Engineering; Operations management; Marketing; Economics; Geography; Economic growth","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":[],"consensus_categories":[],"category_scores_codex":[0.008298091,0.00008520578,0.0001680245,0.00008446998,0.001125132,0.0001347998,0.0004556122,0.00002184744,0.00013705],"category_scores_gemma":[0.0003967637,0.00004694037,0.0001027711,0.0005288448,0.0001471152,0.0003597073,0.0002230423,0.001161907,0.000002459521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001532972,"about_ca_system_score_gemma":0.00106086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001681775,"about_ca_topic_score_gemma":0.0002486587,"domain_scores_codex":[0.9978644,0.0002459015,0.0002712651,0.0001912332,0.000648259,0.0007789788],"domain_scores_gemma":[0.9990802,0.0001849746,0.000246653,0.0002766792,0.0001607981,0.00005064533],"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":[0.0001697611,0.0003569598,0.01337697,0.000006056384,0.0002730385,0.000296562,0.006479976,0.0003157512,0.0007326735,0.2048796,0.02018927,0.7529234],"study_design_scores_gemma":[0.001212843,0.0009904688,0.006447925,0.000005573787,0.0000726588,0.04387571,0.123224,0.0005106761,0.0001438603,0.7444165,0.07879238,0.0003074907],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835388,0.00133989,0.001433424,0.01319672,0.000262008,0.00008398221,0.00002342634,0.000004863909,0.0001168808],"genre_scores_gemma":[0.9980639,0.0004906975,0.00001440375,0.0003574684,0.0001135391,0.000002044893,0.000001031349,0.000005181453,0.0009516891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7526159,"threshold_uncertainty_score":0.865372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03346254354196604,"score_gpt":0.3297580683376328,"score_spread":0.2962955247956667,"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."}}