{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001910124,0.000191136,0.0001741583,0.0001412062,0.000185473,0.0001792786,0.0002719247,0.00004977279,0.001698803],"category_scores_gemma":[0.00002330623,0.0001757004,0.0001145753,0.0004729321,0.00004180553,0.001052616,0.000168072,0.0001081899,0.002129702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003816445,"about_ca_system_score_gemma":0.00001229168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005375602,"about_ca_topic_score_gemma":0.00143174,"domain_scores_codex":[0.9987523,0.000006132432,0.0002513568,0.0002849177,0.0003652488,0.0003400326],"domain_scores_gemma":[0.9994715,0.00001389182,0.0002101814,0.0002457931,0.00004607591,0.00001250244],"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":[0.0000516932,0.0002110959,0.412597,0.00008151985,0.00005280839,0.00005241781,0.000009318026,0.0003556614,0.002295898,0.1674851,0.412755,0.004052587],"study_design_scores_gemma":[0.0004095788,0.000005271092,0.1409053,0.00001520333,0.00006020373,4.601969e-7,0.00004124885,0.000240763,0.0002340327,0.007427135,0.8503639,0.0002969412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935919,0.0002617405,0.0003283075,0.002319034,0.001258299,0.0001734729,0.000007619933,0.0002247453,0.05950774],"genre_scores_gemma":[0.9938388,0.00001192542,0.00006274495,0.001670799,0.001770134,0.00001284263,0.0000762048,0.00002791152,0.002528573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4376089,"threshold_uncertainty_score":0.9992138,"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."}}