{"id":"W1606459157","doi":"10.1111/j.0019-8676.2004.00375.x","title":"Living Wage Policies at the San Francisco Airport: Impacts on Workers and Businesses","year":2004,"lang":"en","type":"article","venue":"Industrial Relations A Journal of Economy and Society","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Earnings; Wage; Living wage; Revenue; Labour economics; Work (physics); Hourly wage; Economics; Cost of living; Business; Demographic economics; Economic growth; Finance","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":[0.0007698259,0.0001220147,0.0003016739,0.0001064191,0.0005315864,0.0001482354,0.00008783731,0.0002087886,0.0003534297],"category_scores_gemma":[0.0001919752,0.00009859828,0.0001766088,0.0002540976,0.0001437223,0.0004230482,0.00004197846,0.000437425,0.00001625915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001519958,"about_ca_system_score_gemma":0.00008184861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001151085,"about_ca_topic_score_gemma":0.00002819024,"domain_scores_codex":[0.9989728,0.00001723213,0.0006715463,0.0001457845,0.00003504496,0.0001575416],"domain_scores_gemma":[0.9986227,0.0002572702,0.0008447699,0.0001253083,0.00004672647,0.0001032294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003547279,0.0001335414,0.8811846,0.0000072653,0.0007812655,0.000004577343,0.006237016,0.0139093,0.000004475158,0.08371226,0.01149961,0.002490629],"study_design_scores_gemma":[0.004736607,0.0004400698,0.8284732,0.0003584625,0.0002294126,0.000134489,0.007176083,0.0004715232,0.00004624046,0.02805318,0.1291966,0.0006841902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836788,0.001544381,0.0005078401,0.00546696,0.0002063775,0.00007124827,0.00002944801,0.000005350451,0.008489654],"genre_scores_gemma":[0.9982592,0.0003011827,0.00009447712,0.0003012135,0.0004220129,0.000002334839,0.000002689286,0.000008490269,0.0006083854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.117697,"threshold_uncertainty_score":0.4088587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0466308619384369,"score_gpt":0.2409937255904487,"score_spread":0.1943628636520118,"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."}}