{"id":"W3107302202","doi":"10.1201/9781003077527-59","title":"Design of a backpacked tunnel liner using FLAC","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Civil and Geotechnical Engineering Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering; Computer science; Forensic engineering; Geology","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":[0.0003111639,0.0008270348,0.0005257938,0.0004974548,0.0005879794,0.001036326,0.001835675,0.001182334,0.007129751],"category_scores_gemma":[0.0002442789,0.0004172687,0.0006275678,0.0002761347,0.0003016047,0.0005233428,0.0005100816,0.0004419808,0.003313444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005303606,"about_ca_system_score_gemma":0.001070708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007112897,"about_ca_topic_score_gemma":0.006323529,"domain_scores_codex":[0.9995609,0.00004893405,0.00001678639,0.00007964269,0.000232956,0.00006076216],"domain_scores_gemma":[0.9997974,0.00001446271,0.00002722661,0.00003239724,0.000102365,0.0000261846],"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":[0.0005855072,0.0003359461,0.00306163,0.000786498,0.00009094178,0.001815519,0.0004085804,0.3888251,0.3507734,0.008073768,0.01012084,0.2351222],"study_design_scores_gemma":[0.0001747272,0.003461552,0.005863111,0.0001136755,0.0001406236,0.002231249,0.000257269,0.7859175,0.09156711,0.00119111,0.1089102,0.0001719475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1787286,0.0005968991,0.7524369,0.0002842772,0.0002138274,0.001045853,0.0007376241,0.00731311,0.0586431],"genre_scores_gemma":[0.6599278,0.0002928331,0.2853419,0.0001107472,0.00002832035,0.0003272584,0.0005897914,0.0003474496,0.05303382],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007129751,"threshold_uncertainty_score":0.02385139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05710458098454014,"score_gpt":0.2355325301342478,"score_spread":0.1784279491497076,"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."}}