{"id":"W4302471125","doi":"10.1002/div.6940","title":"Automatic Data Processing Inc.","year":2008,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payroll; Outsourcing; Business; Truck; Automotive industry; Goods and services; Commerce; Marketing; Accounting; Engineering; Economics; Economy","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":["insufficient_payload"],"category_scores_codex":[0.000547263,0.0002659223,0.0002549152,0.0002878919,0.0006459414,0.0002159279,0.001032573,0.00005505977,0.001037633],"category_scores_gemma":[0.0001179757,0.0002439555,0.00006591624,0.0005061439,0.00008961737,0.001820512,0.001054368,0.0001694799,0.001198629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003625346,"about_ca_system_score_gemma":0.00002944046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000534596,"about_ca_topic_score_gemma":0.00005180122,"domain_scores_codex":[0.9980201,0.00001760895,0.0003661018,0.0005523261,0.0005762421,0.0004676736],"domain_scores_gemma":[0.9988487,0.00002485413,0.000204592,0.0008456167,0.00004615902,0.00003006593],"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":[0.00003923789,0.000536025,0.2348208,0.001212138,0.0002409709,0.0002960058,0.0006361523,0.001783591,0.0001681555,0.002265842,0.6277232,0.1302779],"study_design_scores_gemma":[0.0008501164,0.00001053345,0.04188873,0.0001251933,0.0001951876,0.000009637477,0.0008003421,0.2291856,0.00001206767,0.0005286675,0.7256714,0.0007225116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9359497,0.0008104326,0.009355677,0.01404542,0.002728167,0.0009978894,0.00002709672,0.001923008,0.03416264],"genre_scores_gemma":[0.9945682,0.00003513078,0.0006056927,0.002279415,0.0009878107,0.00001630684,0.0002846919,0.0000474651,0.001175324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.227402,"threshold_uncertainty_score":0.9998755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06305883662248746,"score_gpt":0.2454185986288892,"score_spread":0.1823597620064017,"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."}}