{"id":"W4402003150","doi":"10.1007/978-981-97-1257-1_25","title":"Non-probabilistic Reliability-Based Design for Spalling Property in Hard Rock Tunnel Using an Info-Gap Method","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Spall; Reliability (semiconductor); Probabilistic logic; Property (philosophy); Geotechnical engineering; Geology; Computer science; Structural engineering; Reliability engineering; Forensic engineering; Materials science; Engineering; Artificial intelligence; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009158487,0.001062589,0.001254303,0.001469151,0.00004285534,0.0001266727,0.000470021,0.001097457,0.00004001809],"category_scores_gemma":[0.0004733242,0.0009620179,0.0004168084,0.0005616567,0.00002076711,0.0001375193,0.00006863283,0.00195473,0.00001146505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009108632,"about_ca_system_score_gemma":0.00010383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006770188,"about_ca_topic_score_gemma":0.0001904066,"domain_scores_codex":[0.9968082,0.00001741216,0.001011939,0.0009764365,0.0003455536,0.0008404761],"domain_scores_gemma":[0.9980351,0.0008001329,0.00007082055,0.0008055026,0.00009202732,0.0001964295],"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":[0.00001522063,0.00002346285,0.000002385342,0.002849649,0.00008431484,0.00003684961,0.00009442309,0.9926826,0.002950286,0.0002532093,0.000005585895,0.00100199],"study_design_scores_gemma":[0.0004176422,0.00007724996,0.000002421011,0.002497489,0.0002093739,0.000008159654,0.000001220243,0.9872109,0.0009963318,0.005544057,0.001865757,0.001169353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001526054,0.0009998033,0.9957044,0.00003809483,0.0005307849,0.0009977254,0.00003809591,0.000979682,0.000558838],"genre_scores_gemma":[0.5614382,0.0000831097,0.4348463,0.00005578257,0.0007045749,0.000391577,0.0001379526,0.00108227,0.001260223],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5612856,"threshold_uncertainty_score":0.999283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03550885318108284,"score_gpt":0.2488645936276798,"score_spread":0.213355740446597,"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."}}