{"id":"W2025853335","doi":"10.1061/(asce)0733-9399(2006)132:9(979)","title":"Three-Degree-of-Freedom Rigid Model for Seismic Analysis of Cracked Concrete Gravity Dams","year":2006,"lang":"en","type":"article","venue":"Journal of Engineering Mechanics","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gravity dam; Coefficient of restitution; Coulomb friction; Stability (learning theory); Structural engineering; Rigid body; Coulomb; Geology; Physics; Geotechnical engineering; Mechanics; Geometry; Classical mechanics; Nonlinear system; Mathematics; Engineering; Finite element method; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002929988,0.0007128002,0.0007606953,0.0004634353,0.0004681582,0.0005997205,0.00157477,0.00131083,0.00219826],"category_scores_gemma":[0.0005277112,0.0004409603,0.001056692,0.0004487973,0.0008214724,0.0005886932,0.0008210243,0.0008921844,0.0006231311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003803041,"about_ca_system_score_gemma":0.0008269264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007562955,"about_ca_topic_score_gemma":0.004653223,"domain_scores_codex":[0.9998034,0.00004955898,0.00001058866,0.00002957561,0.00007876081,0.000028183],"domain_scores_gemma":[0.9998366,0.0000450683,0.00003719407,0.00002714163,0.0000330212,0.00002101543],"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":[0.0000236959,0.0000113116,0.0002378609,0.00002216326,0.00001111435,0.00008226056,0.00003013327,0.9753222,0.003518688,0.01681096,0.0001921312,0.003737453],"study_design_scores_gemma":[0.000002988773,0.00001297908,0.0000819752,0.000002142966,0.000003180434,0.00001331896,0.000004542884,0.9975827,0.0002081295,0.001495128,0.0005877214,0.000005071928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03405077,0.000213725,0.9567585,0.0001322155,0.00005669838,0.00004278802,0.0002249941,0.0003568688,0.008163458],"genre_scores_gemma":[0.9058531,0.0006989566,0.07841948,0.00008299329,0.00007129724,0.0002431444,0.0004350487,0.0001258843,0.01407021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007562955,"threshold_uncertainty_score":0.01503789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153081159845519,"score_gpt":0.2181860841318952,"score_spread":0.2028779681473433,"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."}}