{"id":"W4248343108","doi":"10.1002/div.3332","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; Pharmacy; Distribution (mathematics); Operations management; Food science; Agricultural science; Marketing; Advertising; Engineering; Medicine; Chemistry; Nursing; Environmental science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003971127,0.001113564,0.0006060824,0.002595626,0.001319054,0.003881225,0.001212413,0.001609377,0.82104],"category_scores_gemma":[0.001201175,0.0006750749,0.0004230161,0.001805046,0.0003792938,0.002375828,0.001846152,0.001351186,0.7377165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008185199,"about_ca_system_score_gemma":0.001158362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00262047,"about_ca_topic_score_gemma":0.006700927,"domain_scores_codex":[0.9992287,0.00005594579,0.00004160668,0.0001676738,0.0004268609,0.00007913312],"domain_scores_gemma":[0.9991061,0.00008033754,0.00006898925,0.0001428056,0.0003462389,0.0002555872],"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":[0.000135746,0.0001236529,0.0004220074,0.0003415025,0.000007244792,0.0002376497,0.0001322233,0.0001366327,0.002624005,0.01352186,0.6974486,0.2848689],"study_design_scores_gemma":[0.00001201964,0.00002225075,0.0002382407,0.00004795824,0.000002782611,0.0001439735,0.00004415071,0.0000809244,0.0002755302,0.000664918,0.998463,0.000004231034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000606655,0.0009538695,0.001084923,0.0007420594,0.0003007615,0.00006858638,0.002401935,0.002322019,0.991519],"genre_scores_gemma":[0.003140715,0.0005118609,0.0007102969,0.0002871359,0.0000593385,0.00003790153,0.001696796,0.0003609625,0.9931949],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.82104,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774716844061089,"score_gpt":0.2086533443075686,"score_spread":0.1909061758669577,"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."}}