{"id":"W6966871057","doi":"10.4224/20378589","title":"Construction and rehabilitation costs for buried pipe with a focus on trenchless technologies","year":2002,"lang":"en","type":"report","venue":"NPARC","topic":"","field":"","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trenchless technology; Focus (optics); Pipeline transport; Cost analysis; Cost reduction; Cost–benefit analysis; Driver rehabilitation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004509243,0.000405918,0.0002784206,0.002870992,0.0003092012,0.0008415186,0.0005018653,0.0002477322,0.007962503],"category_scores_gemma":[0.00252533,0.0002614744,0.0003052002,0.002574168,0.000163319,0.000772656,0.0005052335,0.0003412423,0.0009728553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002270348,"about_ca_system_score_gemma":0.002233377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01762494,"about_ca_topic_score_gemma":0.05568536,"domain_scores_codex":[0.9980725,0.0002183673,0.00008543977,0.0000917913,0.001391051,0.0001407623],"domain_scores_gemma":[0.9981552,0.0004607945,0.0004809905,0.00009582753,0.0007308988,0.00007628272],"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":[0.0007157603,0.0004364986,0.1578684,0.001770267,0.0001545728,0.002908111,0.001217049,0.09073768,0.01496914,0.013954,0.05140019,0.6638684],"study_design_scores_gemma":[0.00004780804,0.001034289,0.7459558,0.0005051698,0.0001954028,0.004123108,0.001674585,0.01839327,0.01335235,0.003365324,0.2112038,0.0001492174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8549414,0.005626457,0.01641129,0.0007543574,0.0001335563,0.0004364868,0.01504608,0.0003344128,0.106316],"genre_scores_gemma":[0.9019464,0.006781123,0.01085905,0.00008557586,0.00007612967,0.00027742,0.01626128,0.0001337443,0.06357932],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01762494,"threshold_uncertainty_score":0.03504473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02230642797064707,"score_gpt":0.2740283545904221,"score_spread":0.251721926619775,"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."}}