{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003672596,0.0002986931,0.00008160083,0.0005296054,0.001974032,0.00139592,0.0005617346,0.0005851873,0.01657689],"category_scores_gemma":[0.0006303801,0.000169152,0.0001448096,0.0005892694,0.0009123468,0.0008846181,0.0009718224,0.0005859784,0.002289992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007095095,"about_ca_system_score_gemma":0.007888084,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4227151,"about_ca_topic_score_gemma":0.7252778,"domain_scores_codex":[0.99924,0.00004852882,0.00001482747,0.00006910254,0.0004344059,0.0001931861],"domain_scores_gemma":[0.99935,0.00004370606,0.00004247362,0.00004417198,0.0002557347,0.0002638169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000378496,0.0002433231,0.05851518,0.0003267784,0.00002286283,0.007619243,0.0205224,0.003031473,0.01369996,0.03715181,0.3716362,0.4868523],"study_design_scores_gemma":[0.00003008514,0.0003297625,0.05900404,0.00005602892,0.00001699123,0.001213733,0.004106847,0.0008190427,0.002853487,0.0004137786,0.9311064,0.00004984176],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4454067,0.002508682,0.01048406,0.007655329,0.001409938,0.0003633495,0.002118232,0.001394499,0.5286592],"genre_scores_gemma":[0.5371695,0.00172128,0.006711679,0.0006826373,0.0003810062,0.00005730629,0.002003952,0.0001777959,0.4510948],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5772849,"threshold_uncertainty_score":0.8405092,"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."}}