{"id":"W4235853358","doi":"10.1002/div.2096","title":"Canadian National Railway Co.","year":2005,"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; Geography; Petroleum; 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":[0.0002086854,0.0001453955,0.0001255159,0.0003089033,0.0002368906,0.000122771,0.0002379284,0.00004968288,0.004823115],"category_scores_gemma":[0.00001841776,0.0001498876,0.00009492998,0.0001452151,0.00003326891,0.001038829,0.00002206921,0.00008781284,0.005156553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001776053,"about_ca_system_score_gemma":0.00008296473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0840274,"about_ca_topic_score_gemma":0.2325819,"domain_scores_codex":[0.9990169,0.00000244154,0.0002075658,0.0001949382,0.0001888955,0.0003892951],"domain_scores_gemma":[0.9997216,0.000008657768,0.00006914826,0.0001122504,0.0000390222,0.00004925347],"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":[0.00001914014,0.00006345905,0.3434013,0.00003731504,0.000106651,0.000006570892,0.0001635013,0.00183076,0.0001914648,0.05077201,0.598227,0.005180885],"study_design_scores_gemma":[0.0002326703,0.000001227153,0.09466287,0.000005435734,0.00001567124,5.395829e-7,0.00004769288,0.0003619214,0.00004022359,0.0004150718,0.9040317,0.0001849671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6996285,0.00008259954,0.0000199474,0.0154263,0.0007934576,0.000142942,0.00003608958,0.0001242834,0.2837459],"genre_scores_gemma":[0.985972,0.00001144243,0.00004444278,0.00831337,0.001890751,0.00001036762,0.0001200508,0.00001933215,0.003618238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3058048,"threshold_uncertainty_score":0.9960866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010888677130281,"score_gpt":0.222904612976546,"score_spread":0.2027957262052432,"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."}}