{"id":"W1154546401","doi":"","title":"CP's Next Move","year":2015,"lang":"en","type":"article","venue":"Railway age","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Merge (version control); Revenue; Rail network; Potash; Finance; Business; Transport engineering; Agricultural economics; Engineering; Economics; Computer science","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":[],"category_scores_codex":[0.0001422064,0.0001023073,0.0001306586,0.00008555568,0.00005122414,0.0001953678,0.0001621157,0.00004095578,0.000320459],"category_scores_gemma":[0.00001678273,0.00009526297,0.00005387501,0.0001082764,0.00003505401,0.0009457272,0.00004190281,0.00006007322,0.003403913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000175789,"about_ca_system_score_gemma":0.00001154345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009945272,"about_ca_topic_score_gemma":0.0002393609,"domain_scores_codex":[0.9994239,0.000001318959,0.0001369599,0.0001344583,0.00007538596,0.0002279401],"domain_scores_gemma":[0.9997322,0.000006251486,0.00005654701,0.0001623881,0.0000234165,0.0000191894],"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":[0.0001533457,0.0002538803,0.09490892,0.0002430899,0.0001313453,0.0002912451,0.001963967,0.0005946083,0.001795285,0.3233517,0.5394067,0.03690592],"study_design_scores_gemma":[0.0004351225,0.000002762711,0.02571864,0.00000769555,0.00001551944,8.402463e-7,0.0002527387,0.0002618588,0.00004263461,0.006195044,0.9668969,0.0001702465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6485037,0.0000833114,0.00005821871,0.0007558928,0.0005285108,0.00007067627,0.0000016694,0.0001589646,0.3498391],"genre_scores_gemma":[0.9909008,0.000003472462,0.00005929642,0.002904674,0.001518487,0.00000589927,0.00002656451,0.00001755955,0.004563292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4274902,"threshold_uncertainty_score":0.997372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04455288808975395,"score_gpt":0.2188249174578661,"score_spread":0.1742720293681121,"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."}}