{"id":"W1531176736","doi":"10.7202/028607ar","title":"The Relationship Between Public and Private Sector Wages in Alberta","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"European Socioeconomic and Political Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salary; Wage; Civil service; Public sector; Private sector; Labour economics; Tertiary sector of the economy; Public service; Service (business); Business; Economics; Demographic economics; Political science; Economic growth; Public administration; Marketing; Economy; Market economy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003758633,0.00008911459,0.0001491905,0.00008721982,0.0004182941,0.00008525659,0.0001152907,0.0001164207,0.00008765082],"category_scores_gemma":[0.0008244803,0.00008130016,0.00003267861,0.0001576872,0.0001565519,0.0001900464,0.0000653665,0.0003126707,0.0007915032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009232735,"about_ca_system_score_gemma":0.0000148735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001300911,"about_ca_topic_score_gemma":0.0001607283,"domain_scores_codex":[0.9991076,0.00003201977,0.0004323635,0.0001828627,0.00001654883,0.0002286203],"domain_scores_gemma":[0.9977712,0.00188205,0.0001138577,0.0001618391,0.00000810008,0.00006294876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[3.59852e-7,0.000004136431,0.5584635,2.806466e-7,0.000009217663,5.374102e-8,0.000173811,0.000004942293,1.060537e-8,0.4399327,0.0006839025,0.0007271058],"study_design_scores_gemma":[0.0001395975,0.000005096169,0.5815572,0.000003556083,0.000002261723,3.083825e-7,0.00008186054,0.00004941506,5.913883e-7,0.02354164,0.3945474,0.00007114949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8956673,0.002395251,0.00008244008,0.03467668,0.00005155672,0.0001209328,0.00003076888,0.00001732388,0.06695781],"genre_scores_gemma":[0.9875954,0.0002164595,0.00009674059,0.0001050315,0.0001796172,0.00001134083,0.000008340701,0.00001207264,0.01177501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4163911,"threshold_uncertainty_score":0.9999865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0990789322714403,"score_gpt":0.2489614314072443,"score_spread":0.149882499135804,"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."}}