{"id":"W4233989800","doi":"10.1002/div.4134","title":"Canadian National Railway Co.","year":2006,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Memphis; History; Library science; Geography; Political science; Computer science; 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":[0.0001783454,0.0001451861,0.0001253548,0.0003106993,0.0002452642,0.0001372257,0.0002071383,0.00004944947,0.002527378],"category_scores_gemma":[0.00001074381,0.0001500253,0.00009554038,0.0001652296,0.00003664986,0.0007184724,0.0000187664,0.00007454027,0.002349096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001355638,"about_ca_system_score_gemma":0.00007448554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3930342,"about_ca_topic_score_gemma":0.3284461,"domain_scores_codex":[0.9990178,0.00000244469,0.0002137848,0.0001941684,0.0001888232,0.0003830163],"domain_scores_gemma":[0.9997429,0.000008668857,0.00007448801,0.0001036921,0.00004039128,0.00002987201],"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":[0.000008697694,0.00003530333,0.4889843,0.00002544725,0.00003494595,0.000008036033,0.00002128102,0.0007993722,0.0001657056,0.06985462,0.4397289,0.0003334207],"study_design_scores_gemma":[0.0002048615,0.000001046328,0.2675528,0.000004827764,0.00001460109,4.533567e-7,0.00002795341,0.0001374884,0.00003486572,0.002437546,0.7294117,0.0001718581],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6679105,0.00005814992,0.00002138985,0.004265873,0.0008249198,0.0001167682,0.00003775672,0.0001032228,0.3266614],"genre_scores_gemma":[0.9910231,0.000003985767,0.00002043919,0.002846012,0.001478602,0.00001039177,0.0002572264,0.00001934715,0.004340914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3231126,"threshold_uncertainty_score":0.9984277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503017820652871,"score_gpt":0.2070522224656288,"score_spread":0.1920220442591001,"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."}}