{"id":"W307207911","doi":"","title":"Commentary: Erica L. Groshen","year":2005,"lang":"en","type":"article","venue":"Federal Reserve Bank of New York Economic policy review","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Labour economics; Wage; Workforce; Economics; Human capital; Deindustrialization; Immigration; Technological change; Affect (linguistics); Production (economics); Distribution (mathematics); Business; Market economy; Economy; Economic growth; Political science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006349601,0.0001589234,0.0004682009,0.00006897959,0.0003426591,0.00007603816,0.0006221188,0.00006156123,0.003045474],"category_scores_gemma":[0.0001507074,0.0001478995,0.0002108577,0.0001976538,0.0001287611,0.0002987497,0.0001218909,0.00011179,0.0001218163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004771774,"about_ca_system_score_gemma":0.0006381093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1210007,"about_ca_topic_score_gemma":0.0320038,"domain_scores_codex":[0.9983851,0.0001866855,0.000560292,0.0002387632,0.0001655587,0.0004636064],"domain_scores_gemma":[0.9989386,0.00008217091,0.0002690031,0.0003712703,0.0000281751,0.0003108024],"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":[0.000005402434,0.00003927701,0.0006239874,0.00005814748,0.0000415902,3.169501e-7,0.0003807708,0.000004496134,0.000003994397,0.126624,0.8196158,0.0526022],"study_design_scores_gemma":[0.0002983676,0.00003598899,0.002715196,0.0003805311,0.00001890169,3.345939e-7,0.00005235251,0.000005760384,0.00001306878,0.001816227,0.9945101,0.0001531436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.02510337,0.07522276,0.00001092961,0.6779815,0.0003393385,0.001257303,0.0001597609,0.00009989078,0.2198251],"genre_scores_gemma":[0.2625752,0.3530008,0.002681581,0.3057907,0.009986457,0.0001032913,0.000131136,0.0001007136,0.06563015],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3721908,"threshold_uncertainty_score":0.9978659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05931563622765342,"score_gpt":0.357706825275925,"score_spread":0.2983911890482716,"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."}}