{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003290115,0.001069856,0.0004074103,0.001930952,0.002180219,0.003565176,0.00108057,0.002943395,0.7467009],"category_scores_gemma":[0.001614041,0.0006281761,0.0003172229,0.001916276,0.0009744175,0.002461754,0.00209602,0.002804368,0.5842227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001414474,"about_ca_system_score_gemma":0.001574568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034393,"about_ca_topic_score_gemma":0.02739167,"domain_scores_codex":[0.9995344,0.0000414698,0.0000278657,0.0001290748,0.000207458,0.00005977023],"domain_scores_gemma":[0.9993514,0.0001355125,0.00004347652,0.0001191913,0.0002563776,0.00009404013],"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":[0.00004535799,0.00003786738,0.000188357,0.0001421072,0.000003397462,0.0002521545,0.0001515208,0.00007566152,0.0005853833,0.02550733,0.7781436,0.1948672],"study_design_scores_gemma":[0.000004254613,0.000004553777,0.0001792757,0.00009860216,8.006908e-7,0.00008067513,0.00006133709,0.00003027682,0.00008205523,0.0009941343,0.9984614,0.000002765484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002433547,0.002483944,0.0003332878,0.00173927,0.0004478369,0.00003796096,0.0004785629,0.000420173,0.9938157],"genre_scores_gemma":[0.00124777,0.0009788127,0.0001605814,0.0005033386,0.00003926487,0.00002254396,0.0001575406,0.00008031689,0.9968098],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7467009,"threshold_uncertainty_score":0.3613003,"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."}}