{"id":"W1874689587","doi":"10.1139/cgj-2015-0244","title":"Design, construction, and monitoring of a building with deep basements in Rome","year":2015,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excavation; Geotechnical engineering; Alluvium; Geology; Civil engineering; Engineering; Mining engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003469595,0.0001155414,0.00020586,0.0004013321,0.00003274237,0.00003195967,0.0001185046,0.0001013772,0.000007655124],"category_scores_gemma":[0.00007477487,0.0001067724,0.00002636352,0.0003886621,0.00005172551,0.00009707088,0.00001071563,0.000412323,7.789571e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002343177,"about_ca_system_score_gemma":0.0001094938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001259951,"about_ca_topic_score_gemma":0.0001981575,"domain_scores_codex":[0.9991652,0.00001865912,0.0002625843,0.00009953952,0.0001574398,0.0002965129],"domain_scores_gemma":[0.9991665,0.0000267221,0.00003064198,0.000106705,0.00006293516,0.0006064894],"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":[0.000004002087,0.000003394108,0.002245393,0.00001013792,0.00002762955,0.00007085223,0.0000272834,0.990717,0.0006596252,0.00003300545,0.00002089828,0.006180757],"study_design_scores_gemma":[0.001498702,0.0002234357,0.007490981,0.0005080937,0.00008597827,0.001386451,0.0004167289,0.9828646,0.002492435,0.001116895,0.001366703,0.0005490467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2097277,0.0006651614,0.7892083,0.000112463,0.000112415,0.00007283301,0.000001878885,0.00006965149,0.00002960265],"genre_scores_gemma":[0.9654383,0.00005784423,0.03442848,0.000006276952,0.00004465881,0.00000374122,3.305854e-7,0.00001751507,0.000002862651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7557106,"threshold_uncertainty_score":0.4354053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180079455887796,"score_gpt":0.1959694756079575,"score_spread":0.1841686810490795,"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."}}