{"id":"W569628420","doi":"","title":"Map of the Month: Canadian Pacific in 1974","year":2007,"lang":"en","type":"article","venue":"Trains","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pacific ocean; Truck; Aeronautics; Mile; Meteorology; Geography; Engineering; Oceanography","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":[],"consensus_categories":[],"category_scores_codex":[0.0001695247,0.00005351047,0.00007627858,0.0001389584,0.00004126457,0.00001649061,0.0001379122,0.00002937849,0.000172783],"category_scores_gemma":[0.00000318002,0.00004232902,0.00003938622,0.0001059368,0.00004094442,0.0001386187,0.00000753013,0.00005181998,0.0000950976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002807559,"about_ca_system_score_gemma":0.00002316988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2570509,"about_ca_topic_score_gemma":0.8792346,"domain_scores_codex":[0.9995392,7.404603e-7,0.0001391329,0.00006433477,0.00003695918,0.0002196473],"domain_scores_gemma":[0.9998255,0.000005821531,0.00003853974,0.0001124441,0.000007876641,0.000009868442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001281869,0.00003659685,0.9215317,0.00007047872,0.00001179898,0.000009909749,0.00138978,0.00007748805,0.0002083552,0.06509185,0.006586574,0.004972659],"study_design_scores_gemma":[0.0001480619,7.001536e-7,0.7739125,0.000008666684,0.000003949675,1.264445e-7,0.0005167267,0.00004737531,0.00002579639,0.0006675565,0.2246149,0.00005361314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8563468,0.00001803284,0.000003941836,0.002049306,0.0002195124,0.00007137942,0.000004804122,0.00001139924,0.1412749],"genre_scores_gemma":[0.9983649,6.744756e-7,0.000006262849,0.000633937,0.0002068017,0.000001140134,0.000004392065,0.000006486582,0.0007754217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6221837,"threshold_uncertainty_score":0.7478965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171036317892417,"score_gpt":0.19179037413833,"score_spread":0.1746867423490883,"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."}}