{"id":"W643541987","doi":"","title":"Automated Access: The Recently Completed Automated People Mover at Toronto Pearson International Airport","year":2006,"lang":"en","type":"article","venue":"Civil engineering","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; Train; International airport; Transport engineering; Telecommunications; Engineering; Aeronautics; Geography","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":[0.0001181977,0.0001883186,0.0001756572,0.00007993472,0.0001335434,0.000291171,0.0004205911,0.00005394116,0.000932824],"category_scores_gemma":[0.00001216156,0.0001643642,0.00007826561,0.0001579784,0.00001732006,0.001165939,0.0001480155,0.00007076323,0.0001642611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001887322,"about_ca_system_score_gemma":0.000008551309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009927055,"about_ca_topic_score_gemma":0.02798906,"domain_scores_codex":[0.9990504,0.000001734223,0.0002835557,0.0001976745,0.0001492266,0.0003174598],"domain_scores_gemma":[0.9996108,0.00001840395,0.0001127795,0.0001991232,0.00004680581,0.00001208605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000643669,0.000163145,0.2654836,0.000316562,0.0002817488,0.0000287553,0.0003460326,0.2533382,0.003506881,0.01163883,0.4642901,0.0005418194],"study_design_scores_gemma":[0.0002042414,8.214377e-7,0.3886374,0.00001744227,0.00001382523,0.000002054647,0.00001412415,0.4525735,0.0000178908,0.00001354722,0.1583697,0.0001355276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9402495,0.0002090909,0.0003507698,0.0008815548,0.00190545,0.0002413027,0.0000205164,0.004810347,0.05133147],"genre_scores_gemma":[0.9979051,0.00001389506,0.00002747383,0.000316026,0.0009010433,0.0000220119,0.0002687519,0.00004027178,0.0005053781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3059204,"threshold_uncertainty_score":0.9999804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00975358218044006,"score_gpt":0.2038447029907526,"score_spread":0.1940911208103125,"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."}}