{"id":"W4251564233","doi":"10.1002/div.1269","title":"Sherwin‐Williams Co.","year":2004,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Automotive industry; Business; Engineering; Commerce; Computer science","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":[0.0003594864,0.001474876,0.0006053033,0.003139517,0.00153946,0.002949874,0.001144365,0.001437364,0.7787427],"category_scores_gemma":[0.001209731,0.0007018235,0.0003519701,0.002682316,0.0006001376,0.002251502,0.001828219,0.001691858,0.671397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101476,"about_ca_system_score_gemma":0.001422434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005337633,"about_ca_topic_score_gemma":0.0146284,"domain_scores_codex":[0.9993933,0.00003327908,0.00002953502,0.0001530397,0.0003355511,0.00005522206],"domain_scores_gemma":[0.9990809,0.0001068416,0.00006562462,0.0001845011,0.0004057947,0.0001562987],"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":[0.00009044261,0.0001185597,0.0005257869,0.0002888062,0.000007956957,0.0003042254,0.0001392806,0.000147334,0.002691344,0.01463495,0.5323662,0.448685],"study_design_scores_gemma":[0.000007403656,0.00002099965,0.0005948614,0.0001092259,0.000002671727,0.0001850275,0.00005365436,0.00007109025,0.0004609856,0.0008824943,0.9976064,0.000005188725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007062939,0.002121306,0.0008686031,0.0006553402,0.0002904277,0.00007271177,0.001498086,0.001379305,0.9924079],"genre_scores_gemma":[0.001819147,0.0008892359,0.0004138917,0.0001252125,0.00002511176,0.00002059145,0.0006545606,0.000151678,0.9959005],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7787427,"threshold_uncertainty_score":0.3155967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001145132762391,"score_gpt":0.2214480532136896,"score_spread":0.2014366018860657,"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."}}