{"id":"W4245707504","doi":"10.1002/div.1650","title":"Sherwin‐Williams Co.","year":2004,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Automotive industry; Business; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009856095,0.0001687015,0.0002119068,0.00006383709,0.0001070315,0.00001961169,0.0001151296,0.00004898151,0.001745072],"category_scores_gemma":[0.00001987217,0.0001410955,0.0001977456,0.0001444373,0.00005096403,0.0001343123,0.00005538881,0.0001906278,0.0005761243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001658455,"about_ca_system_score_gemma":0.00005638126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004249487,"about_ca_topic_score_gemma":0.00002009551,"domain_scores_codex":[0.9988483,0.0000170604,0.0002073628,0.0002527195,0.0003671893,0.0003073243],"domain_scores_gemma":[0.9993524,0.00001363366,0.0000431094,0.0003167405,0.00002112499,0.000252973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001766012,0.003716013,0.4989539,0.0005086734,0.001753392,0.003143002,0.002429924,0.001171837,0.09453679,0.009119633,0.3537972,0.02910357],"study_design_scores_gemma":[0.008602363,0.001140886,0.1510748,0.0002651488,0.0005332968,0.0002777156,0.0006735352,0.00002281337,0.03856876,0.000596867,0.7974685,0.0007752889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977237,0.0005971313,0.0002378675,0.01164705,0.000591554,0.0002634707,0.00001679482,0.0001104762,0.009298675],"genre_scores_gemma":[0.9912032,0.0001715063,0.0004838735,0.006091037,0.0002490794,0.00001449707,0.00008090248,0.00002704287,0.001678833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4436713,"threshold_uncertainty_score":0.9991674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937823853728856,"score_gpt":0.2956230805606888,"score_spread":0.2762448420234002,"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."}}