{"id":"W2051200226","doi":"10.1139/l02-071","title":"User cost savings in eliminating pavement excavations through employing trenchless technologies","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trenchless technology; Excavation; Engineering; Trench; Pipeline transport; Pipeline (software); Civil engineering; Pavement engineering; Transport engineering; Asphalt; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001834244,0.0002296604,0.0002948391,0.0006324157,0.00006716104,0.00008279175,0.0003147859,0.0001593036,0.00009033835],"category_scores_gemma":[0.0002687898,0.0002438556,0.00008693363,0.0005456908,0.00003093783,0.0003091189,0.00001384571,0.00065172,0.000003090802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003873922,"about_ca_system_score_gemma":0.00003688964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002728599,"about_ca_topic_score_gemma":0.01475424,"domain_scores_codex":[0.9986802,0.000008178092,0.000513024,0.0001041777,0.0001660592,0.0005284116],"domain_scores_gemma":[0.9994292,0.0000963506,0.00005959094,0.0001842984,0.00005670406,0.0001739048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[2.678971e-7,0.000004463931,0.0004004919,0.0000683598,0.0000298845,0.0000773236,0.0005955001,0.991739,0.001082581,0.001199323,0.0008075272,0.003995255],"study_design_scores_gemma":[0.002249539,0.0002082656,0.0157963,0.002874458,0.0001109096,0.0008279565,0.003189511,0.8097321,0.005452853,0.002198612,0.1549548,0.002404766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4901803,0.01991322,0.4734172,0.001670157,0.00375683,0.000674228,0.00003946668,0.001680021,0.008668548],"genre_scores_gemma":[0.9978521,0.0001546145,0.00180408,0.00001639881,0.00006717118,0.00001124299,0.000001241638,0.00004912821,0.00004399253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5076718,"threshold_uncertainty_score":0.9944144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140419662788269,"score_gpt":0.1929171359514824,"score_spread":0.1788751696726555,"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."}}