{"id":"W4241915846","doi":"10.1002/div.6874","title":"Wal‐Mart Stores, Inc.","year":2008,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"ICT Impact and Policies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Club; Business; China; Advertising; Geography; Commerce; Neighbourhood (mathematics); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007029925,0.0001830034,0.0001620115,0.0001031742,0.0001470055,0.00001423327,0.000185139,0.0000670497,0.0006741733],"category_scores_gemma":[0.0000157097,0.0001746884,0.00008093756,0.0001458318,0.00005203879,0.0001834919,0.00004015438,0.0001569856,0.0007160789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006576558,"about_ca_system_score_gemma":0.00001630279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002038529,"about_ca_topic_score_gemma":0.00003032325,"domain_scores_codex":[0.999141,0.00001913436,0.0001693967,0.00006805666,0.0002199713,0.0003824708],"domain_scores_gemma":[0.9995664,0.0000264257,0.00001845124,0.0002239165,0.00001092437,0.0001538313],"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":[0.00002314577,0.00007387438,0.05297707,0.00007921099,0.0002556151,0.00004196879,0.01029668,0.01103581,0.006953928,0.0009127667,0.9148121,0.002537786],"study_design_scores_gemma":[0.0004340127,0.00005177494,0.08209,0.00002001354,0.00003465678,0.00003493387,0.0002573146,0.0006966401,0.007267798,0.00007594093,0.908512,0.0005249309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872062,0.0007141419,0.0001685264,0.0002482653,0.001325758,0.00008911213,0.00002767815,0.000405292,0.009815041],"genre_scores_gemma":[0.9964592,0.0006560586,0.00005092112,0.0001707057,0.0002424603,0.000008593665,0.00002776404,0.00003925652,0.002345062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02911293,"threshold_uncertainty_score":0.9203984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806778247674294,"score_gpt":0.2131890902988227,"score_spread":0.1951213078220797,"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."}}