{"id":"W4301230484","doi":"10.1002/div.6596","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","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001638822,0.001780913,0.001279236,0.003558845,0.001288345,0.003734987,0.001502949,0.001483092,0.417614],"category_scores_gemma":[0.003155792,0.0009912986,0.0006565354,0.003200642,0.000626347,0.003299733,0.002271224,0.002384141,0.3826361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007463404,"about_ca_system_score_gemma":0.001522272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002201758,"about_ca_topic_score_gemma":0.002619675,"domain_scores_codex":[0.9976104,0.000178571,0.0001804552,0.0007184955,0.001178639,0.0001334408],"domain_scores_gemma":[0.996743,0.0004546209,0.0001530771,0.0007163386,0.001723192,0.0002098978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000414261,0.0001094863,0.001006192,0.0004086778,0.00004325905,0.0002247442,0.000163665,0.0004568888,0.01180661,0.008553929,0.4439977,0.5328145],"study_design_scores_gemma":[0.00007890249,0.00007777054,0.001436981,0.0001412112,0.0000413766,0.0004824466,0.00008445182,0.004174433,0.007957421,0.004127949,0.9813622,0.00003488578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004686302,0.007434491,0.2083517,0.004017938,0.003485496,0.001125765,0.02950652,0.1093014,0.6320903],"genre_scores_gemma":[0.02562643,0.003461853,0.1161473,0.002023013,0.00057341,0.0007807589,0.03411562,0.004669905,0.8126018],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.417614,"threshold_uncertainty_score":0.8307029,"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."}}