{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000599159,0.0002826511,0.0009233545,0.0006889884,0.00002170928,0.00001489185,0.0003625737,0.0001700494,0.000005133978],"category_scores_gemma":[0.00009536155,0.0002825682,0.0006250052,0.0006949696,0.00001310266,0.0001534344,0.00002817303,0.0002994423,4.723206e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000991958,"about_ca_system_score_gemma":0.00003940322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001934873,"about_ca_topic_score_gemma":0.00001253463,"domain_scores_codex":[0.9981449,0.00000694667,0.001036565,0.0001345759,0.0003490834,0.0003278954],"domain_scores_gemma":[0.9987913,0.0001600376,0.0002954925,0.0003419202,0.0003034191,0.0001078524],"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":[0.00002591481,0.00001219929,0.00002087226,0.0002118062,0.0008590359,0.000003801144,0.00004518938,0.960319,0.03432332,0.003740365,0.0002163141,0.0002221687],"study_design_scores_gemma":[0.0006242213,0.00009000198,0.0001785076,0.00009118314,0.0009517517,0.00001104322,0.000006787119,0.9920185,0.004714801,0.0008196234,0.0002410091,0.000252545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.101624,0.0004857148,0.8969431,0.00001098089,0.0005750373,0.0001103133,0.0001261101,0.00008932767,0.00003534348],"genre_scores_gemma":[0.9266333,0.00005990957,0.07305624,0.000002570008,0.0001401601,0.000004523003,0.00001754005,0.0000698846,0.00001587998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8250092,"threshold_uncertainty_score":0.9999626,"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."}}