{"id":"W4206387621","doi":"10.1002/div.2108","title":"Metro Inc","year":2005,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Distribution (mathematics); Square (algebra); Position (finance); Agricultural science; Marketing; Agricultural economics; Food industry; Retail trade; Geography; Advertising; Commerce; Food science; Mathematics; Environmental science; Economics; Finance","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":["insufficient_payload"],"category_scores_codex":[0.0002260045,0.0001914241,0.0001743932,0.00014033,0.0001786901,0.0001590902,0.0003154897,0.00005002291,0.003384792],"category_scores_gemma":[0.00004157631,0.0001755194,0.0001137907,0.000411966,0.0000376778,0.001563255,0.0001999641,0.0001289712,0.004949681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005098341,"about_ca_system_score_gemma":0.00001379089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006652785,"about_ca_topic_score_gemma":0.0008573456,"domain_scores_codex":[0.998753,0.000006124294,0.0002435083,0.000286117,0.0003653949,0.0003458778],"domain_scores_gemma":[0.9994586,0.00001387237,0.0001940575,0.0002676259,0.00004445477,0.00002137776],"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":[0.0001178925,0.0003878156,0.2548835,0.0001204895,0.0001712018,0.00004128553,0.00008144313,0.0008484834,0.002622096,0.1175419,0.5483462,0.07483773],"study_design_scores_gemma":[0.0003778816,0.000005037906,0.03111153,0.00001389815,0.00005227966,4.457894e-7,0.00005880466,0.0005474081,0.0002199289,0.0008952272,0.9664589,0.000258627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460521,0.0003512278,0.0002812766,0.008505879,0.00111175,0.0001986189,0.000006704158,0.0002527773,0.04323961],"genre_scores_gemma":[0.9900278,0.00003698126,0.0001450697,0.005316195,0.00231087,0.00001286869,0.0000338447,0.0000280103,0.002088404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4181128,"threshold_uncertainty_score":0.9975262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766305413908972,"score_gpt":0.2083052593086519,"score_spread":0.1906422051695622,"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."}}