{"id":"W4249610840","doi":"10.1002/div.6976","title":"Cintas Corporation","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":"Renting; Business; Clothing; Corporation; Marketing; Engineering; Finance; Civil engineering; Geography","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":[0.00006269813,0.0001054606,0.0001429923,0.00005470731,0.0001348911,0.000006595673,0.00005580255,0.00003042029,0.00129682],"category_scores_gemma":[0.00001780876,0.00009030681,0.0001097751,0.0001232783,0.00004266235,0.0001347468,0.0000382817,0.0001162962,0.0002774724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000612006,"about_ca_system_score_gemma":0.00003869863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003032552,"about_ca_topic_score_gemma":0.00001514694,"domain_scores_codex":[0.9992132,0.00002072348,0.000162969,0.0001692515,0.0002712892,0.0001625304],"domain_scores_gemma":[0.9995641,0.00001294392,0.00004848784,0.000204244,0.00002588168,0.000144342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004671905,0.000534196,0.5429038,0.00005482197,0.0002199379,0.0009951625,0.0006031237,0.00004376073,0.030089,0.001353431,0.4192757,0.003459838],"study_design_scores_gemma":[0.003295284,0.0007631959,0.5307474,0.00006880551,0.0003081326,0.0008249165,0.0002627924,0.0002096028,0.01844418,0.0001086141,0.4445074,0.0004597284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901942,0.0002528936,0.0001673052,0.00413734,0.0004785078,0.0001768708,0.00000742405,0.00006742346,0.004518056],"genre_scores_gemma":[0.994364,0.0001872616,0.0003465628,0.002686622,0.0001935912,0.000009702889,0.0001009404,0.00001367672,0.0020976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02523172,"threshold_uncertainty_score":0.9996161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0501953668686841,"score_gpt":0.2570070527898356,"score_spread":0.2068116859211515,"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."}}