{"id":"W3190084201","doi":"","title":"Comportement sismique expérimental et modélisation numérique des barrages-poids renforcés par post-tension","year":2000,"lang":"fr","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Earthquake shaking table; Geology; Gravity dam; Displacement (psychology); Structural engineering; Tension (geology); Geotechnical engineering; Engineering; Physics; Finite element method","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004568275,0.0006334099,0.0006430369,0.0003743529,0.0003684844,0.0005994353,0.0007711135,0.001351281,0.002713954],"category_scores_gemma":[0.001318643,0.0004596324,0.0004487874,0.0004721376,0.0007242655,0.0006429076,0.0003680226,0.000693237,0.0003753336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006200233,"about_ca_system_score_gemma":0.0006874412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01556872,"about_ca_topic_score_gemma":0.009148047,"domain_scores_codex":[0.9998178,0.00004468332,0.00001005397,0.00004002199,0.00006309331,0.00002443666],"domain_scores_gemma":[0.9994051,0.0003629025,0.00005150976,0.00005240232,0.0001002567,0.00002776446],"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":[0.00009432701,0.00006782376,0.00189909,0.00007768932,0.00001597614,0.00009497593,0.00008636935,0.9713047,0.02163572,0.001702356,0.0001534883,0.002867527],"study_design_scores_gemma":[0.00001520555,0.00004207804,0.001084742,0.000003750829,0.000005514771,0.00001492369,0.00001842798,0.9936947,0.004553478,0.0002612512,0.0002994808,0.00000635055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8677019,0.0003939182,0.11861,0.0001864845,0.00005200213,0.00009024951,0.001034704,0.0005619415,0.01136874],"genre_scores_gemma":[0.9859868,0.0002262993,0.01003794,0.00001391,0.000007285148,0.00009235064,0.0003928132,0.00005153207,0.003191046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01556872,"threshold_uncertainty_score":0.03095615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008621560881339228,"score_gpt":0.2224937402360536,"score_spread":0.2138721793547144,"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."}}