{"id":"W4245037756","doi":"10.1002/div.3721","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":true,"ca_institutions":"","funders":"","keywords":"Memphis; Bay; Archaeology; Geography; Petroleum; Coal; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000414858,0.001208124,0.0005850727,0.002341368,0.004678182,0.00413766,0.001177408,0.001965278,0.6058271],"category_scores_gemma":[0.001502172,0.0005597253,0.0003921204,0.004368009,0.000470184,0.0009861445,0.0009081681,0.001670711,0.3756574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01333522,"about_ca_system_score_gemma":0.02702817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8671148,"about_ca_topic_score_gemma":0.9333266,"domain_scores_codex":[0.9985126,0.00003157025,0.00004250275,0.0002020739,0.0009921568,0.0002190958],"domain_scores_gemma":[0.9977215,0.00004693185,0.00003671791,0.000103253,0.001905492,0.0001860169],"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":[0.00002605423,0.00002080851,0.0005053122,0.00006512487,0.000003104662,0.00005263868,0.00004246596,0.00008698256,0.0001830582,0.007183583,0.9396479,0.05218297],"study_design_scores_gemma":[0.000003288589,0.000003160034,0.0007116841,0.00002553731,0.000001377418,0.0000148922,0.00004115831,0.00004442759,0.0000457313,0.0001731244,0.9989312,0.000004415825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000471481,0.0007177574,0.0002453214,0.00166733,0.0006912322,0.00006683555,0.01618825,0.0004066122,0.9795451],"genre_scores_gemma":[0.001706388,0.0005296809,0.0002836729,0.0002766089,0.00002871579,0.00001455957,0.005222705,0.00008810441,0.9918495],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6058271,"threshold_uncertainty_score":0.5622398,"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."}}