{"id":"W4239723876","doi":"10.1002/div.1342","title":"Canadian National Railway Co.","year":2004,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Memphis; Bay; Archaeology; Petroleum; Geography; Geology","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":[0.0001757813,0.0001467259,0.0001264317,0.0003069221,0.0002532874,0.0001221814,0.0002325908,0.00005063121,0.001744411],"category_scores_gemma":[0.00002018528,0.0001509774,0.00009700371,0.0001733881,0.00003950087,0.0008336584,0.00002146791,0.0000881184,0.003154783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002334599,"about_ca_system_score_gemma":0.0001453667,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2239286,"about_ca_topic_score_gemma":0.2159687,"domain_scores_codex":[0.9990315,0.000001685314,0.0001927418,0.0001986733,0.0001915353,0.0003838],"domain_scores_gemma":[0.9997278,0.000005600186,0.00006675639,0.0001110292,0.00003940312,0.00004936178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004069317,0.0001451372,0.475359,0.0001079363,0.000234385,0.00004353427,0.0004056717,0.00891866,0.0005290362,0.3215523,0.1910812,0.001582459],"study_design_scores_gemma":[0.0005891424,0.000002901151,0.1570946,0.00001424992,0.00002370729,0.000001115587,0.0001021517,0.00003754674,0.00008487223,0.00639395,0.8353786,0.0002770692],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8277001,0.00005336079,0.00004562821,0.009529357,0.00107981,0.0001481825,0.00003405827,0.0001180625,0.1612914],"genre_scores_gemma":[0.9922085,0.000009577228,0.00003457466,0.005714359,0.0008604304,0.00001049063,0.0001280998,0.00001947641,0.001014445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6442974,"threshold_uncertainty_score":0.9991682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011482367674935,"score_gpt":0.219532341338611,"score_spread":0.1994175176618617,"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."}}