{"id":"W7131084094","doi":"10.37308/dfi50.210905","title":"Complex Logistical Constraints and their Technical Impact on A Deep Excavation Design, Ottawa, Ontario, Canada","year":2025,"lang":"","type":"article","venue":"","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excavation; Trench; Bracing; Plan (archaeology); Demolition; Culvert; Foundation (evidence); Focus (optics); General partnership","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003795431,0.0005790645,0.0006263774,0.0001414471,0.0002462374,0.0001685775,0.0002273267,0.0003585076,0.00512741],"category_scores_gemma":[0.0003280104,0.0004418785,0.0001161365,0.0003098468,0.000565763,0.0001259549,0.00009121058,0.0007846649,0.000002099128],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005214267,"about_ca_system_score_gemma":0.003241182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7808656,"about_ca_topic_score_gemma":0.9543331,"domain_scores_codex":[0.9976568,0.000141584,0.0006973216,0.0005554141,0.0002272097,0.0007217107],"domain_scores_gemma":[0.9979395,0.001073643,0.00005393092,0.000483884,0.0001698074,0.0002792949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001373359,0.0008125951,0.06833932,0.001373489,0.002325124,0.0002473528,0.001708706,0.1805899,0.006190817,0.3815396,0.1769096,0.1785901],"study_design_scores_gemma":[0.001868976,0.000789276,0.7594455,0.0001255425,0.0001394473,0.00009093724,0.001387454,0.1388073,0.0008110055,0.08662795,0.008673182,0.001233402],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0448497,0.0000950945,0.8822436,0.0007785015,0.0003398944,0.0008810032,0.00003134674,0.000122606,0.07065824],"genre_scores_gemma":[0.9949597,0.000006732753,0.003881537,0.0006858917,0.00004264586,0.00001673597,0.00002546485,0.00002127169,0.0003600173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.95011,"threshold_uncertainty_score":0.9998033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230463818872978,"score_gpt":0.2362708327994818,"score_spread":0.223966194610752,"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."}}