{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002374512,0.000985434,0.0003917636,0.001925388,0.001599194,0.003722209,0.0009377848,0.00103576,0.7171526],"category_scores_gemma":[0.0007756219,0.0004965655,0.000300301,0.002223181,0.0002577925,0.00195202,0.001232228,0.001287121,0.5632443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008754623,"about_ca_system_score_gemma":0.001748801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009768181,"about_ca_topic_score_gemma":0.02289201,"domain_scores_codex":[0.9994606,0.00001909595,0.00001985159,0.0001153727,0.0003408976,0.0000440786],"domain_scores_gemma":[0.9992567,0.00005122603,0.00004106157,0.00007825218,0.0004229994,0.0001497556],"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":[0.00007256978,0.0001827035,0.0008129861,0.0001280298,0.000005355946,0.00011174,0.00007017417,0.00007307028,0.0009299302,0.00341465,0.845249,0.1489499],"study_design_scores_gemma":[0.00001845994,0.00003844638,0.001440286,0.00008055098,0.000005253832,0.00007809333,0.00008519158,0.0002001469,0.0003180941,0.0006380101,0.9970902,0.000007138079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001396249,0.0006218501,0.000424559,0.000738852,0.0002977001,0.0000757544,0.004494386,0.001834824,0.9901158],"genre_scores_gemma":[0.004056942,0.0006542247,0.000517802,0.0002934047,0.0000525194,0.00002716254,0.003371996,0.0001391568,0.9908868],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7171526,"threshold_uncertainty_score":0.4034474,"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."}}