{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019083,0.0002623957,0.0002305875,0.0003766347,0.0003946528,0.0003773748,0.001026682,0.00006331619,0.0008615713],"category_scores_gemma":[0.0001423612,0.0002418865,0.00006123159,0.0005846067,0.00005859535,0.001625554,0.00103946,0.0001810617,0.0008675063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004752473,"about_ca_system_score_gemma":0.00001773784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004963998,"about_ca_topic_score_gemma":0.0002127505,"domain_scores_codex":[0.9978233,0.00001154013,0.000438127,0.00054172,0.0005879978,0.0005972892],"domain_scores_gemma":[0.9988367,0.00004204387,0.0002301554,0.0008069302,0.00004853763,0.00003560966],"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":[0.00006269797,0.0004617066,0.155161,0.001393924,0.0002195165,0.0001734788,0.0003858425,0.000727111,0.0003366144,0.005666356,0.2183176,0.6170942],"study_design_scores_gemma":[0.0008093461,0.00001053674,0.04728803,0.0001599428,0.0002518094,0.000002553913,0.001928259,0.1115759,0.00002985218,0.001023023,0.8361896,0.0007312235],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8024465,0.001047949,0.0845677,0.01691814,0.005536498,0.001614336,0.00002941872,0.002811694,0.08502777],"genre_scores_gemma":[0.994285,0.000008471578,0.0008689766,0.002525328,0.00126423,0.00000632572,0.0002537232,0.00004757014,0.0007404155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6178719,"threshold_uncertainty_score":0.9999104,"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."}}