{"id":"W6990693830","doi":"","title":"Effect of torsion and non-structural components on seismic floors accelerations: A case study building in Montreal","year":2019,"lang":"en","type":"other","venue":"Espace ÉTS (ETS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Torsion (gastropod); Seismic analysis; Enclosure; Stiffness","routes":{"ca_aff":false,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.0005563895,0.0007267421,0.00109846,0.001300915,0.00008597268,0.00007939969,0.0002602269,0.0003623406,0.0001243426],"category_scores_gemma":[0.00008256716,0.000625636,0.0001069269,0.0004185888,0.0000760826,0.0001364116,0.0002102914,0.0005219446,0.0005229969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002807146,"about_ca_system_score_gemma":0.00003701398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02804529,"about_ca_topic_score_gemma":0.01254082,"domain_scores_codex":[0.9970371,0.0007139632,0.0004040395,0.0008468954,0.0005547332,0.0004433004],"domain_scores_gemma":[0.9982938,0.0002655404,0.0005071557,0.0007675224,0.0000318339,0.0001341142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01024906,0.003409447,0.5824623,0.004340198,0.002998063,0.02115771,0.03358781,0.01599461,0.04026779,0.00005039905,0.2656327,0.01984992],"study_design_scores_gemma":[0.175436,0.03611012,0.4389746,0.02750986,0.004854219,0.006623253,0.01518096,0.2284189,0.01909453,0.00003690748,0.03213989,0.01562068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886432,0.0002497922,0.000003827047,0.00001522858,0.0005136333,0.003945534,0.0001928279,0.0001222359,0.006313705],"genre_scores_gemma":[0.9652377,0.00001188901,0.00008099377,0.00001112495,0.0001448927,0.00007326568,0.00005473811,0.0007417835,0.03364358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2334928,"threshold_uncertainty_score":0.9996195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047374818503868,"score_gpt":0.2849600774806134,"score_spread":0.2744863292955747,"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."}}