{"id":"W566348152","doi":"","title":"IT CENTRAL: THE IT AND TELECOMMUNICATIONS SYSTEMS INSTALLED IN TORONTO PEARSON'S NEW TERMINAL 1 MAKE IT ONE OF THE MOST TECHNOLOGICALLY ADVANCED TERMINALS IN THE WORLD.","year":2004,"lang":"en","type":"article","venue":"","topic":"Media and Digital Communication","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Terminal (telecommunication); Telecommunications; Computer science; Business; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006265362,0.0007992432,0.0003037833,0.0007813251,0.003111304,0.004870624,0.0006238754,0.001354734,0.1705046],"category_scores_gemma":[0.001731392,0.0005286403,0.0001657063,0.001469991,0.00126308,0.002424875,0.001465042,0.001800677,0.05017931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01360067,"about_ca_system_score_gemma":0.01737032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4543127,"about_ca_topic_score_gemma":0.6477134,"domain_scores_codex":[0.999022,0.00005142072,0.00002201807,0.0001374023,0.0005484908,0.0002186253],"domain_scores_gemma":[0.997286,0.0001440802,0.0001205137,0.0001678689,0.001155812,0.001125681],"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":[0.0001849753,0.00003856995,0.003223018,0.0001824486,0.000008877291,0.0003945715,0.001397727,0.0002611931,0.007469532,0.01365976,0.8527791,0.1204003],"study_design_scores_gemma":[0.00004911794,0.00008339537,0.01431203,0.00007299556,0.0000258098,0.000368876,0.001021627,0.0009531028,0.003901272,0.0008992843,0.9782637,0.00004885436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06762892,0.006109383,0.01876391,0.03381636,0.002720539,0.0004202687,0.007827379,0.02234458,0.8403686],"genre_scores_gemma":[0.1468887,0.002094599,0.005906994,0.001545064,0.0002895003,0.00004168746,0.002675924,0.0009206141,0.839637],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5456873,"threshold_uncertainty_score":0.9033366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02859556246445953,"score_gpt":0.2804424958189425,"score_spread":0.2518469333544829,"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."}}