{"id":"W2169810737","doi":"10.4017/gt.2012.11.02.558.00","title":"Tunnel boring machine positioning automation in tunnel construction","year":2012,"lang":"en","type":"article","venue":"Gerontechnology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automation; Engineering; Tunnel construction; Computer science; Construction engineering; Forensic engineering; Automotive engineering; Structural engineering; 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":[0.0006907323,0.000597287,0.0005028778,0.0007582183,0.0004006023,0.000679608,0.0009816001,0.0006728258,0.002372153],"category_scores_gemma":[0.001076445,0.000363334,0.0003080296,0.0008437652,0.000576373,0.0006860184,0.0007897395,0.0004429693,0.001036319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003250932,"about_ca_system_score_gemma":0.0008026586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002105768,"about_ca_topic_score_gemma":0.002392841,"domain_scores_codex":[0.9985607,0.0002950013,0.00006115744,0.0002572029,0.0007070635,0.0001188676],"domain_scores_gemma":[0.9989702,0.0001653718,0.0001608885,0.0002890819,0.0003560402,0.00005848787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003472234,0.0001171256,0.01241705,0.0008396402,0.00003382353,0.0004170255,0.0005427648,0.04242329,0.2601716,0.004007801,0.003040791,0.675642],"study_design_scores_gemma":[0.0001986055,0.003711914,0.1001861,0.0005562492,0.0001804138,0.005549582,0.0009469203,0.3911768,0.3278348,0.008394114,0.160927,0.0003375814],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.132277,0.00139206,0.8519003,0.0001894274,0.0001281983,0.0002110133,0.0001964223,0.003615428,0.01009015],"genre_scores_gemma":[0.691596,0.0005353398,0.3029402,0.0000495366,0.00004649518,0.00008326612,0.000214805,0.0000940477,0.004440297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002372153,"threshold_uncertainty_score":0.007935643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007405841121464645,"score_gpt":0.202613761820437,"score_spread":0.1952079206989723,"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."}}