{"id":"W4210806317","doi":"10.1002/div.5809","title":"Canadian National Railway Co.","year":2007,"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":true,"ca_institutions":"","funders":"","keywords":"Memphis; Metropolitan area; Baton rouge; Subsidiary; Coal; Archaeology; Truck; Petroleum; Geography; Engineering; Business; Political science; Finance; 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":[0.0005275209,0.0001442843,0.0001242964,0.0004129625,0.0002466101,0.0000996625,0.0002289843,0.00005730742,0.002478171],"category_scores_gemma":[0.0000265561,0.0001492189,0.00009394959,0.0001996257,0.00003879523,0.0007135736,0.00002166934,0.00009464855,0.002302244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001637192,"about_ca_system_score_gemma":0.00007269818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1368866,"about_ca_topic_score_gemma":0.2921954,"domain_scores_codex":[0.9988697,0.000001748548,0.0002381508,0.0001936406,0.0002111906,0.000485595],"domain_scores_gemma":[0.9996906,0.00001592116,0.00007761655,0.0001092939,0.0000472685,0.00005932157],"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":[0.00003158869,0.00004590592,0.7217398,0.00004112056,0.00009132317,0.00002412493,0.0001346217,0.0001981173,0.00029551,0.05795711,0.2170096,0.002431192],"study_design_scores_gemma":[0.0002015394,0.000001474294,0.2829485,0.000005419422,0.0000136156,6.220845e-7,0.00009760977,0.00004596143,0.00006391298,0.0007610758,0.7156895,0.0001707249],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.709158,0.00004656496,0.00008827417,0.002822536,0.001158377,0.0001223002,0.00002031991,0.00009651689,0.2864871],"genre_scores_gemma":[0.991063,0.000005959629,0.00003003231,0.005289357,0.001201675,0.000003969288,0.0001154327,0.00001932259,0.002271245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4986799,"threshold_uncertainty_score":0.9984746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104456215389463,"score_gpt":0.2318629551755736,"score_spread":0.210818393021679,"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."}}