{"id":"W4210242295","doi":"10.1002/div.6819","title":"Sherwin‐Williams Co.","year":2008,"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":"Original equipment manufacturer; Business; Automotive industry; China; Engineering; Commerce; Geography; Archaeology; 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":[0.00008250042,0.0001681044,0.0002321539,0.00006559482,0.0001781297,0.00000857582,0.0001139239,0.0000480391,0.003088892],"category_scores_gemma":[0.00002180711,0.0001406238,0.0002070487,0.0001436819,0.00007945263,0.0001284485,0.00005684376,0.0001914545,0.0005794584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008379349,"about_ca_system_score_gemma":0.0000461566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002407041,"about_ca_topic_score_gemma":0.000006722782,"domain_scores_codex":[0.9988034,0.00002813743,0.0002145186,0.0002511307,0.000399172,0.0003036065],"domain_scores_gemma":[0.9993225,0.00002382789,0.00004470506,0.0003279519,0.00002435455,0.0002566886],"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":[0.0003146641,0.0004915863,0.4985207,0.00005975206,0.0002734184,0.001161708,0.0004985851,0.00001965704,0.00929139,0.0001991649,0.4861393,0.00303006],"study_design_scores_gemma":[0.002242981,0.0004325228,0.2403161,0.00005609398,0.0001744246,0.000497887,0.0001941408,0.00005209752,0.00838819,0.00002273428,0.7472655,0.0003574228],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813735,0.0006693098,0.0000746306,0.004411738,0.0005068041,0.000217561,0.00001510104,0.0001007922,0.01263049],"genre_scores_gemma":[0.9872671,0.0004905144,0.0002803979,0.004991219,0.0002729617,0.00001419821,0.00008200912,0.00002673036,0.006574888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2611261,"threshold_uncertainty_score":0.9978224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04502698330921739,"score_gpt":0.2912057180802939,"score_spread":0.2461787347710765,"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."}}