{"id":"W4401388761","doi":"10.3390/su16166757","title":"Governing Lateral Load on Tall Buildings in Canadian Regions","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Sustainability; Context (archaeology); Structural load; Building design; Civil engineering; Wind engineering; Architectural engineering; Resilience (materials science); Engineering; Environmental resource management; Environmental science; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002150923,0.0004397073,0.0002545648,0.0009985579,0.001677054,0.0009278299,0.0007273541,0.0003981884,0.002114596],"category_scores_gemma":[0.00062688,0.0002056071,0.0004676362,0.001361244,0.001081376,0.0003125851,0.0006494051,0.0002633372,0.0001472302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007541339,"about_ca_system_score_gemma":0.00620769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9281709,"about_ca_topic_score_gemma":0.9612252,"domain_scores_codex":[0.9996285,0.00001982091,0.000008483132,0.0000418603,0.0001380433,0.0001632845],"domain_scores_gemma":[0.9998059,0.00003861684,0.00002582881,0.00001558603,0.0000845445,0.00002961842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002176132,0.0001470643,0.1494585,0.0001065734,0.00006942195,0.001016665,0.001655749,0.7687903,0.02629987,0.01047796,0.001514326,0.04024592],"study_design_scores_gemma":[0.00002382429,0.0000999758,0.5623865,0.00003862543,0.00007660389,0.0001965651,0.005801131,0.4185621,0.004699728,0.00234981,0.005595529,0.0001695599],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897657,0.00003559933,0.001041013,0.00003302241,0.000002338862,0.0000177235,0.0002904547,0.00002541996,0.008788619],"genre_scores_gemma":[0.9988972,0.00003767097,0.0002985721,0.000003874658,7.043503e-7,0.000004686862,0.0001023813,0.000006035989,0.0006488829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07182914,"threshold_uncertainty_score":0.1445042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00552642766935404,"score_gpt":0.2332020730726762,"score_spread":0.2276756454033222,"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."}}