{"id":"W7133270438","doi":"","title":"Laboratoire canadien de recherche ferroviaire : résumé des résultats des plans de recherche 2022-2023","year":2023,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fault tree analysis; Hazard analysis; Hazard; Workload; Probabilistic logic; Event tree; Process (computing); Train","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":[],"consensus_categories":[],"category_scores_codex":[0.01372462,0.001609537,0.001172759,0.004418722,0.002749818,0.006534369,0.001572947,0.001897127,0.07979406],"category_scores_gemma":[0.007558125,0.0004728767,0.001129784,0.004990304,0.001336632,0.001831235,0.00296991,0.002613924,0.03811369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02187425,"about_ca_system_score_gemma":0.04541074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5388349,"about_ca_topic_score_gemma":0.3422412,"domain_scores_codex":[0.9914836,0.001159496,0.0002287036,0.0008861989,0.004850827,0.001391134],"domain_scores_gemma":[0.9869376,0.001161476,0.0003200246,0.0007873633,0.009111051,0.001682398],"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":[0.0006174987,0.0002073445,0.007767512,0.0006266761,0.00006270671,0.0002523873,0.0008136774,0.001600554,0.002977742,0.04339329,0.5925097,0.349171],"study_design_scores_gemma":[0.00003279195,0.00005660017,0.00749884,0.0002140111,0.00001415215,0.00006536714,0.0002758428,0.000390654,0.001304002,0.001206501,0.988913,0.00002818563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02132958,0.1092056,0.02547243,0.0747133,0.009735189,0.001670438,0.06995969,0.004030551,0.6838832],"genre_scores_gemma":[0.06695536,0.04603228,0.02200041,0.003885288,0.001323626,0.001081927,0.04889354,0.001319978,0.8085076],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4611651,"threshold_uncertainty_score":0.927762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08706890586250636,"score_gpt":0.3328851656252522,"score_spread":0.2458162597627458,"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."}}