{"id":"W3036211109","doi":"","title":"Why Is Wage Growth So Low? | Bulletin – June Quarter 2015","year":2015,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Wage growth; Wage; Labour economics; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001713745,0.0003405548,0.0003804421,0.001036446,0.003102231,0.005987855,0.0005550198,0.004134614,0.04932902],"category_scores_gemma":[0.008742767,0.0003395796,0.0002845991,0.001049257,0.00117308,0.002403728,0.001279717,0.00424981,0.02161834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002479726,"about_ca_system_score_gemma":0.003840746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01725251,"about_ca_topic_score_gemma":0.04664673,"domain_scores_codex":[0.9986703,0.0001672589,0.00008286059,0.0001100555,0.0006471201,0.0003223036],"domain_scores_gemma":[0.9967507,0.0006665908,0.0003312605,0.0001055791,0.001400588,0.000745349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000123373,0.000008172166,0.0006686732,0.00001935055,0.000001495846,0.00001987417,0.00004428153,0.000004452334,0.00003504705,0.000744542,0.9898386,0.008603212],"study_design_scores_gemma":[0.000009897295,0.00001863191,0.01217227,0.0001357581,0.000004154717,0.00004251806,0.0005591994,0.00002389694,0.0001058102,0.0006186262,0.9862986,0.00001069185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007207274,0.01498509,0.0001765492,0.733913,0.04921582,0.0000328555,0.001765422,0.0003094459,0.1923945],"genre_scores_gemma":[0.08100213,0.02003897,0.0004330074,0.1421509,0.03558838,0.0001105739,0.003151481,0.0004183375,0.7171062],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04932902,"threshold_uncertainty_score":0.165022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04748404021540129,"score_gpt":0.3464710141873637,"score_spread":0.2989869739719624,"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."}}