{"id":"W4402534707","doi":"10.1007/978-3-031-61511-5_13","title":"Potential Recycling of Excavated Tunnel Materials from Grand Paris Express Disposal as a Construction Material","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Engineering; Forensic engineering; Mining engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005537204,0.0004233001,0.000383627,0.001559628,0.001719822,0.002875433,0.0008199618,0.001133728,0.009914535],"category_scores_gemma":[0.000365164,0.0002357194,0.0007135036,0.001103937,0.0007718403,0.001322611,0.0008807153,0.0005289929,0.001643874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588794,"about_ca_system_score_gemma":0.00130473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006763659,"about_ca_topic_score_gemma":0.03110181,"domain_scores_codex":[0.9996606,0.00004607505,0.000007612761,0.00003700166,0.0001719558,0.00007669014],"domain_scores_gemma":[0.9998702,0.00003461626,0.00001309035,0.00002108089,0.00004613022,0.00001484788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002425884,0.0007825009,0.04002051,0.002604716,0.0002036331,0.0237626,0.01020856,0.02411889,0.1243547,0.071015,0.02593954,0.6745635],"study_design_scores_gemma":[0.0001274372,0.00212637,0.1162187,0.002671832,0.0004668504,0.01705655,0.03611795,0.01482765,0.2730594,0.01992471,0.517154,0.0002485951],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8218962,0.004582387,0.003479938,0.0007381976,0.0001695921,0.00007970572,0.0003161227,0.000111811,0.168626],"genre_scores_gemma":[0.878852,0.001946031,0.002292666,0.00009381954,0.00002143564,0.00001704291,0.0002209796,0.00005784802,0.1164981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009914535,"threshold_uncertainty_score":0.03316748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003292090325916319,"score_gpt":0.1811728545146647,"score_spread":0.1778807641887484,"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."}}