{"id":"W4299669851","doi":"10.1002/div.6247","title":"Automatic Data Processing Inc.","year":2007,"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; Commerce; Marketing; Accounting; Engineering","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":[0.001626445,0.001804178,0.001292734,0.003552489,0.00129031,0.003727096,0.001507343,0.001506093,0.4190534],"category_scores_gemma":[0.003131061,0.0009915697,0.0006587903,0.003208857,0.0006245985,0.00331134,0.002278631,0.002393899,0.3874696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007440967,"about_ca_system_score_gemma":0.001521804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002209484,"about_ca_topic_score_gemma":0.002604888,"domain_scores_codex":[0.9976227,0.0001773277,0.00017872,0.000714844,0.001173806,0.0001325792],"domain_scores_gemma":[0.9967642,0.0004515355,0.0001512004,0.0007128223,0.001710385,0.0002099675],"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":[0.0004129721,0.0001090098,0.0009864967,0.0004116168,0.00004316165,0.0002267838,0.0001633086,0.0004686223,0.01162528,0.008583514,0.4456321,0.5313371],"study_design_scores_gemma":[0.00007862342,0.00007698147,0.001394955,0.00014275,0.00004121138,0.0004806048,0.00008452713,0.004155339,0.007801164,0.004189004,0.98152,0.00003486707],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004592959,0.007522126,0.2082597,0.003993695,0.00350273,0.00112914,0.02942652,0.1090044,0.6325688],"genre_scores_gemma":[0.0250634,0.003507427,0.1164053,0.002043392,0.0005633748,0.0007916813,0.03433996,0.00472187,0.8125637],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4190534,"threshold_uncertainty_score":0.8286498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03987253088959808,"score_gpt":0.2639569028590002,"score_spread":0.2240843719694021,"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."}}