{"id":"W762137800","doi":"","title":"SINGAPORE PURSUES ITS MRT EXPANSION","year":2004,"lang":"en","type":"article","venue":"Tunnels & tunnelling","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excavation; Quarter (Canadian coin); Engineering; Boulevard; Work (physics); Line (geometry); Forensic engineering; Archaeology; Civil engineering; Geotechnical engineering; Geography; Mathematics; Mechanical 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":[0.00137681,0.0003968267,0.0002485899,0.0003929738,0.001684003,0.00273362,0.0005552338,0.001536832,0.02227387],"category_scores_gemma":[0.001511933,0.0001418315,0.0004428105,0.000429187,0.0006169772,0.0010096,0.003517106,0.001511906,0.006475544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633031,"about_ca_system_score_gemma":0.005082433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01921092,"about_ca_topic_score_gemma":0.04829692,"domain_scores_codex":[0.9993549,0.0001046436,0.0000320719,0.0000699282,0.0002660091,0.0001724813],"domain_scores_gemma":[0.9988176,0.00005439106,0.00009270169,0.0001156013,0.0003680316,0.000551588],"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":[0.0005070175,0.0003582364,0.05190021,0.0008067574,0.0001053676,0.007635687,0.004941562,0.002361893,0.01736643,0.07647131,0.4802606,0.3572848],"study_design_scores_gemma":[0.00002143066,0.0004340314,0.02939859,0.0001264815,0.0000170412,0.001054071,0.001947681,0.0009144752,0.002073456,0.001411486,0.962576,0.00002531162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3372589,0.004074429,0.003945625,0.0833486,0.002415034,0.0003019021,0.001985533,0.001034905,0.5656351],"genre_scores_gemma":[0.5283508,0.002446887,0.005399473,0.01118471,0.000397741,0.000124779,0.001700116,0.0001969426,0.4501985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02227387,"threshold_uncertainty_score":0.07451349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217471948006742,"score_gpt":0.2048624578217557,"score_spread":0.1926877383416883,"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."}}