{"id":"W4240026813","doi":"10.1002/div.2825","title":"Sherwin‐Williams Co.","year":2005,"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; Commerce; Advertising; 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":[0.0002413828,0.0008080382,0.0002980559,0.001678704,0.002251849,0.002587995,0.0009424095,0.002753763,0.7099004],"category_scores_gemma":[0.001254137,0.0004760006,0.0002377094,0.001311334,0.0008104,0.001759251,0.001523189,0.002439278,0.4582475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543289,"about_ca_system_score_gemma":0.001412438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01117326,"about_ca_topic_score_gemma":0.03121885,"domain_scores_codex":[0.9995914,0.00003472589,0.00002062691,0.0001044272,0.0001953144,0.00005353907],"domain_scores_gemma":[0.9995438,0.0001039303,0.00003427929,0.00006405779,0.0001851316,0.00006867162],"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":[0.00004577211,0.00004032809,0.0001885821,0.0001472377,0.000002919296,0.0003548597,0.0001552348,0.00005880003,0.0007098061,0.02996002,0.798328,0.1700084],"study_design_scores_gemma":[0.00000356184,0.000004658128,0.0001809168,0.00008199846,6.547195e-7,0.0001032776,0.0000514367,0.00001964044,0.00007357407,0.0007814326,0.9986969,0.000002000778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002803367,0.002633493,0.0001714184,0.002181322,0.0004350206,0.00003171988,0.0002938856,0.0002041071,0.9937687],"genre_scores_gemma":[0.001450162,0.0009657746,0.0001036291,0.0007493041,0.00004515752,0.00001555609,0.0001057403,0.00003753635,0.9965273],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7099004,"threshold_uncertainty_score":0.4137919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897886073584875,"score_gpt":0.3040513047749375,"score_spread":0.2850724440390888,"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."}}