{"id":"W638584388","doi":"","title":"BY RAIL TO LAC ST. JEAN","year":2003,"lang":"en","type":"article","venue":"Railfan and Railroad","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering; Transport engineering; Forensic engineering; Civil engineering","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":["insufficient_payload"],"category_scores_codex":[0.00010907,0.0001506466,0.0001348436,0.00002038589,0.0001708482,0.000007814377,0.0001116322,0.0000471046,0.005235129],"category_scores_gemma":[0.00001517529,0.0001237341,0.00004345998,0.0001158124,0.0008625562,0.00008187108,0.00008356231,0.00008777729,0.001651647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001001341,"about_ca_system_score_gemma":0.000004296438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001635988,"about_ca_topic_score_gemma":0.00003294761,"domain_scores_codex":[0.9990013,0.00004742031,0.0001210014,0.0003430878,0.0002202076,0.0002669892],"domain_scores_gemma":[0.9994811,0.00002474388,0.00003476602,0.0001654506,0.000001071644,0.0002928852],"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":[0.00003782073,0.0002520235,0.01152965,0.000007848104,0.00002190875,0.00002141124,0.001651711,0.0001049216,0.03743812,0.0008522666,0.9027999,0.04528241],"study_design_scores_gemma":[0.000238823,0.00008549624,0.00596462,0.000003863834,0.000005699552,0.0000133274,0.0004056711,0.000007670167,0.0005098783,0.00011964,0.9924313,0.0002139568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8212352,0.001101964,0.0005440871,0.003617634,0.0002531712,0.0003496623,0.00003569804,0.00008214193,0.1727804],"genre_scores_gemma":[0.9075908,0.0001780172,0.0009842601,0.003631512,0.00002998282,0.00001626257,0.000009846241,0.00002471428,0.08753463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08963145,"threshold_uncertainty_score":0.9991257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004970239804255367,"score_gpt":0.186945612537727,"score_spread":0.1819753727334716,"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."}}