{"id":"W4236311075","doi":"10.1002/div.3736","title":"Metro Inc","year":2006,"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; Agricultural science; Distribution (mathematics); Operations management; Marketing; Food science; Advertising; Engineering; Medicine; Nursing; Chemistry; Mathematics; Environmental science","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":[0.0003967064,0.0009603181,0.0004506276,0.002695872,0.001490453,0.004869397,0.001201456,0.001674899,0.8719027],"category_scores_gemma":[0.00165063,0.0005159279,0.0004580336,0.001706032,0.0003839568,0.002519971,0.002246028,0.001297124,0.8104393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009137095,"about_ca_system_score_gemma":0.001572983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002234477,"about_ca_topic_score_gemma":0.005332157,"domain_scores_codex":[0.9990795,0.00006617582,0.0000475555,0.0001823013,0.0005136528,0.0001108361],"domain_scores_gemma":[0.9986178,0.0001041029,0.00009794296,0.0002470652,0.0005186116,0.0004145792],"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":[0.00005823421,0.00007862875,0.0003247105,0.0001654518,0.000004357373,0.000174024,0.00006521113,0.00007134488,0.001111499,0.0104604,0.8036775,0.1838087],"study_design_scores_gemma":[0.00000555864,0.00001207101,0.0001856863,0.00003095814,0.000001260736,0.000100812,0.00002693303,0.00003605183,0.0001160659,0.0004406997,0.9990409,0.000002929466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003428099,0.0004483073,0.0004568702,0.0006633322,0.0004296368,0.00004600733,0.001301458,0.001247145,0.9950644],"genre_scores_gemma":[0.001859415,0.0003131537,0.000295825,0.0003327414,0.0001286221,0.00002304324,0.001153701,0.0002615758,0.9956319],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8719027,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108832818493669,"score_gpt":0.18489874780624,"score_spread":0.1738104196213033,"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."}}