{"id":"W4242256689","doi":"10.1002/div.5929","title":"Cintas Corporation","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":"Renting; Business; Clothing; Corporation; Marketing; Engineering; Finance; Civil engineering","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":[0.0002589209,0.0001038711,0.0001276156,0.0000743065,0.00007716734,0.00001238522,0.00005543503,0.00003567698,0.00106016],"category_scores_gemma":[0.00002202617,0.00008943497,0.0001009382,0.0001452392,0.00002637516,0.0001184911,0.00003767212,0.0001254616,0.0001933959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008317457,"about_ca_system_score_gemma":0.0000217992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002789612,"about_ca_topic_score_gemma":0.0000743571,"domain_scores_codex":[0.99913,0.00001285153,0.0001995441,0.0001655298,0.0002776887,0.0002144279],"domain_scores_gemma":[0.9995255,0.00002345799,0.0000553149,0.00019355,0.00002740049,0.0001747868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001395875,0.0007929627,0.6165748,0.0001130822,0.0003477166,0.0009550991,0.000599297,0.00002787535,0.1144413,0.006749156,0.2191539,0.0388489],"study_design_scores_gemma":[0.002577198,0.0006311335,0.4990009,0.00007509672,0.0003402784,0.0001512731,0.0005872512,0.00007220385,0.04214355,0.0001894993,0.4538463,0.0003853068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854581,0.0002258664,0.001369835,0.003396414,0.0007128585,0.0002037169,0.000005440072,0.00006925914,0.008558546],"genre_scores_gemma":[0.9948121,0.00003706828,0.000520481,0.003022399,0.0002556103,0.000003315675,0.00008829595,0.00001367449,0.001247028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2346924,"threshold_uncertainty_score":0.999853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812783338083299,"score_gpt":0.2945067563842867,"score_spread":0.2763789230034537,"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."}}