{"id":"W6928842137","doi":"10.3886/e198968v1","title":"Data and Code for: Global Managers, Local Workers: Wage Setting Inside a Multinational Firm","year":2024,"lang":"en","type":"dataset","venue":"Knowledge@UChicago (University of Chicago)","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Booth University College","funders":"","keywords":"Multinational corporation; Wage; Factory (object-oriented programming); Efficiency wage; Matching (statistics); Set (abstract data type); Rank (graph theory)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009182159,0.001441523,0.0009583055,0.002643802,0.0007762649,0.002105571,0.001971089,0.002103737,0.05079844],"category_scores_gemma":[0.006768561,0.0005754842,0.0009855701,0.005454195,0.0003602676,0.001065034,0.001631605,0.001686604,0.06368735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226491,"about_ca_system_score_gemma":0.001685187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03747366,"about_ca_topic_score_gemma":0.06412516,"domain_scores_codex":[0.9992436,0.0001319751,0.0001079727,0.0002477967,0.0001402627,0.000128504],"domain_scores_gemma":[0.9974208,0.0007486611,0.0005058263,0.0005110913,0.0005098771,0.0003037683],"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":[0.00009031787,0.00003682886,0.006371274,0.0005526244,0.00003871007,0.00003470842,0.00005005219,0.0004693186,0.00008530582,0.0004731154,0.988817,0.002980754],"study_design_scores_gemma":[0.0004893675,0.00002719101,0.03332625,0.0004365495,0.00004742156,0.00008965289,0.0002539081,0.001105433,0.000301001,0.001748629,0.9621224,0.00005209675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003040895,0.00003679594,0.00004639516,0.0000812478,0.00001357349,0.000007250692,0.999003,0.0001235889,0.0003840492],"genre_scores_gemma":[0.001193942,0.0000461015,0.0003094278,0.00005524167,0.00000852331,0.00008536485,0.9975292,0.00004978091,0.0007223682],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05079844,"threshold_uncertainty_score":0.1699377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955039539910245,"score_gpt":0.2625325859282069,"score_spread":0.2429821905291044,"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."}}