{"id":"W4249509367","doi":"10.1002/div.5725","title":"Sherwin‐Williams Co.","year":2007,"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; China; Automotive industry; 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":[0.000324164,0.0001656551,0.000208021,0.00008821007,0.0001039558,0.00001572158,0.0001131927,0.00005605501,0.002557447],"category_scores_gemma":[0.00002676193,0.0001393106,0.0001909105,0.0001683445,0.00004998666,0.000113471,0.00005597384,0.0002060955,0.0004104632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001126423,"about_ca_system_score_gemma":0.00002654068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002221452,"about_ca_topic_score_gemma":0.00003101014,"domain_scores_codex":[0.9986708,0.00001776108,0.0002606359,0.000245791,0.0004083842,0.0003965918],"domain_scores_gemma":[0.9992611,0.00004226551,0.00005072962,0.0003113696,0.00002574188,0.0003087586],"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":[0.0009795768,0.0007797834,0.6255499,0.0001302832,0.0004607785,0.001210316,0.0005358545,0.00001380442,0.03653562,0.001019137,0.2991444,0.03364051],"study_design_scores_gemma":[0.001818187,0.0003699325,0.2331916,0.00006270619,0.0001972832,0.00009957826,0.0004324654,0.00001919833,0.01909437,0.00003991651,0.744365,0.0003097079],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706135,0.0006026171,0.0005697281,0.003653567,0.0007476763,0.0002503857,0.00001123443,0.0001038887,0.02344743],"genre_scores_gemma":[0.9893283,0.0001034177,0.0004185492,0.005650323,0.0003599468,0.000005088331,0.00007264664,0.00002694659,0.004034809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4452206,"threshold_uncertainty_score":0.9983544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987654900049663,"score_gpt":0.3246634248538356,"score_spread":0.304786875853339,"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."}}