{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004948357,0.001211225,0.0006555002,0.002335525,0.00501301,0.004359533,0.001259078,0.002221254,0.6113724],"category_scores_gemma":[0.001326017,0.0006540097,0.0004482727,0.00433368,0.0005778009,0.001667336,0.001502665,0.001708716,0.4295044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009738799,"about_ca_system_score_gemma":0.01486025,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7759211,"about_ca_topic_score_gemma":0.9219795,"domain_scores_codex":[0.9989643,0.00003457626,0.00003497102,0.0001805054,0.0006104827,0.0001751637],"domain_scores_gemma":[0.998616,0.00004466976,0.00002972825,0.0001018845,0.001039099,0.0001685665],"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":[0.00004094405,0.00002493599,0.000658359,0.0001248244,0.000004838651,0.0000762433,0.0001107147,0.0001478874,0.000358129,0.009507274,0.8645954,0.1243504],"study_design_scores_gemma":[0.000002956936,0.000003875788,0.0008568462,0.00003497146,0.00000218919,0.00002360815,0.0001009098,0.00005760296,0.00007181669,0.0002245941,0.9986149,0.000005634524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007335636,0.001441872,0.0004409236,0.001514274,0.0005667692,0.00004203382,0.007237521,0.0004565422,0.9875666],"genre_scores_gemma":[0.001696913,0.000738234,0.0002981336,0.0001747737,0.0000169075,0.0000088699,0.002128829,0.00008739837,0.99485],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6113724,"threshold_uncertainty_score":0.5543301,"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."}}