{"id":"W2072365947","doi":"10.1177/0022185606059313","title":"International Labor Standards, Soft Regulation, and National Government Roles","year":2006,"lang":"en","type":"article","venue":"Journal of Industrial Relations","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Enforcement; Soft law; Imperfect; Government (linguistics); Position (finance); Government regulation; Political science; Economics; Public economics; Law and economics; International law; Law; 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":[0.0004956173,0.00008826509,0.0001288864,0.0001426391,0.0002006803,0.0002025495,0.00009746997,0.00006463159,0.0002995415],"category_scores_gemma":[0.0004805943,0.00007710193,0.00006025545,0.0002177287,0.00005015716,0.0009442069,0.00004662738,0.0001463475,0.0000106935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000165781,"about_ca_system_score_gemma":0.00006595909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001587865,"about_ca_topic_score_gemma":0.00002381401,"domain_scores_codex":[0.9983304,0.000008999669,0.0004647786,0.00008695765,0.001022193,0.0000867374],"domain_scores_gemma":[0.9982942,0.00006520081,0.0005726196,0.00004554844,0.001012232,0.00001024436],"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":[0.0001943639,0.0001301808,0.2399254,0.000006028022,0.0001455325,0.000003790823,0.00003847923,0.009058531,0.0003364324,0.2036257,0.5322601,0.01427538],"study_design_scores_gemma":[0.001441665,0.00001118075,0.1672297,0.00005992487,0.00004182483,0.000008503165,0.0001623427,0.001579803,0.00001793021,0.02468778,0.8046497,0.0001095939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5221803,0.0008873469,0.01312001,0.1210521,0.005270157,0.0005991136,0.0001655517,0.0001141937,0.3366112],"genre_scores_gemma":[0.9933455,0.00001169846,0.0003004667,0.0003246515,0.004831416,0.000002520249,0.00001177864,0.000008871296,0.001163087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4711652,"threshold_uncertainty_score":0.3279769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02343761066973306,"score_gpt":0.2507859541336377,"score_spread":0.2273483434639046,"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."}}