{"id":"W2611123402","doi":"","title":"Leading the way : Canadian National finds a formula for growth","year":2017,"lang":"en","type":"article","venue":"Trains (Milwaukee, Wis. : 1954)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; History","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008771188,0.0001464323,0.0001659859,0.00009668447,0.004452975,0.0003570277,0.0009657213,0.0001406544,0.0001881903],"category_scores_gemma":[0.001551152,0.0001300812,0.0001493559,0.0001327192,0.0006003453,0.0003910452,0.00002727511,0.0001751455,0.00007466456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006552453,"about_ca_system_score_gemma":0.00219911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7682843,"about_ca_topic_score_gemma":0.9811612,"domain_scores_codex":[0.9983411,0.0000406283,0.000178712,0.0002572488,0.0004048874,0.0007774145],"domain_scores_gemma":[0.99873,0.0002232792,0.0001543968,0.0003178496,0.0001574285,0.0004170566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009725122,0.00001096414,0.0006063146,0.0000110354,0.00003005086,0.000005663556,0.01554555,0.000004134604,0.00002252241,0.6755531,0.2976961,0.01050486],"study_design_scores_gemma":[0.0004032156,0.00002079713,0.02943911,0.00002094309,0.00001297432,0.000001927018,0.0002879879,0.0001470713,0.00003579908,0.01845926,0.9509602,0.000210691],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04133506,0.0001528629,0.0002305509,0.2934443,0.001034204,0.001182386,0.002725963,0.00007486637,0.6598198],"genre_scores_gemma":[0.9589322,0.00002975234,0.0001401936,0.007631097,0.001171439,0.00008039248,0.00001333596,0.00002117046,0.03198038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9175972,"threshold_uncertainty_score":0.9968431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0521169283361799,"score_gpt":0.3295958493233707,"score_spread":0.2774789209871908,"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."}}