{"id":"W4247943621","doi":"10.1002/div.1354","title":"Metro Inc","year":2004,"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); Marketing; Retail trade; Agricultural science; Agricultural economics; Food industry; Pharmacy; Geography; Advertising; Commerce; Food science; Mathematics; Medicine; Finance; Economics; Environmental science; Nursing","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":[0.0003665076,0.0008967654,0.000452423,0.0025501,0.001621328,0.005031648,0.001198767,0.001585946,0.8779923],"category_scores_gemma":[0.001562124,0.0004710775,0.0004509135,0.001767625,0.0003709628,0.002471587,0.002255213,0.001155545,0.8211364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081476,"about_ca_system_score_gemma":0.001851721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003827182,"about_ca_topic_score_gemma":0.008983998,"domain_scores_codex":[0.9991636,0.00005852475,0.00004180618,0.0001534552,0.0004676681,0.0001149837],"domain_scores_gemma":[0.9986303,0.00009034846,0.0000855602,0.0002283373,0.0005230142,0.0004425359],"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":[0.00004212208,0.00006453451,0.000296154,0.0001501775,0.000003614551,0.0001390377,0.00006140803,0.00006432351,0.0009062972,0.00831589,0.8234687,0.1664876],"study_design_scores_gemma":[0.000003859162,0.000008797063,0.0001812716,0.00002484569,9.781826e-7,0.00007126074,0.00002524754,0.00003046568,0.00008228369,0.0003017955,0.9992667,0.000002558756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002898483,0.0003755537,0.0004135624,0.0005774584,0.0004282484,0.00004302368,0.001243093,0.001183185,0.995446],"genre_scores_gemma":[0.001510361,0.0002767099,0.0002500412,0.0002994713,0.0001318128,0.00002048184,0.00107265,0.0002456742,0.9961928],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8779923,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178917590059594,"score_gpt":0.2040175241175345,"score_spread":0.1861257651115751,"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."}}