{"id":"W4229579655","doi":"10.1002/div.5302","title":"Sherwin‐Williams Co.","year":2006,"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":"Automotive industry; Engineering; Business; Geography","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":[0.0001896098,0.0002301808,0.0001989946,0.0001116808,0.0002167291,0.0002223826,0.0003131979,0.00006401331,0.002394659],"category_scores_gemma":[0.00002011903,0.0002130537,0.0001551115,0.0003970057,0.0000598869,0.001135509,0.0001170936,0.0001251686,0.002934875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004225925,"about_ca_system_score_gemma":0.00001458512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003073912,"about_ca_topic_score_gemma":0.0005099388,"domain_scores_codex":[0.9985418,0.000006806455,0.0002873586,0.0003383068,0.0004218216,0.0004039104],"domain_scores_gemma":[0.9993984,0.00001417747,0.0002254037,0.0002904366,0.00005537235,0.00001619845],"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":[0.00004537631,0.0001844225,0.3170355,0.00008110127,0.00004290545,0.00005084741,0.00001165326,0.0003989311,0.002769948,0.05099418,0.6246117,0.003773466],"study_design_scores_gemma":[0.0004255775,0.000005805576,0.1083857,0.00002244833,0.00004435863,8.479201e-7,0.00004194827,0.0001900707,0.0003453064,0.002292311,0.8879276,0.0003180594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8523165,0.0002563387,0.0002281833,0.00169225,0.001287291,0.0002181676,0.000009571832,0.0002525762,0.1437391],"genre_scores_gemma":[0.9855832,0.00002464553,0.0000484128,0.002118492,0.002085442,0.00001593466,0.0001096152,0.0000385149,0.009975713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2633159,"threshold_uncertainty_score":0.9985173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238078992183225,"score_gpt":0.2011479427107387,"score_spread":0.1887671527889065,"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."}}