{"id":"W2322847963","doi":"10.1515/jag-2012-0052","title":"Dynamic beam deformation measurements with off-the-shelf digital cameras","year":2013,"lang":"en","type":"article","venue":"Journal of Applied Geodesy","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; University of Calgary","keywords":"Serviceability (structure); Structural health monitoring; Instrumentation (computer programming); Computer science; Photogrammetry; Deformation monitoring; System of measurement; Process (computing); Deformation (meteorology); Real-time computing; Remote sensing; Engineering; Geology; Structural engineering; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0003075671,0.0001065988,0.000139283,0.0000374056,0.0001495529,0.0002146162,0.0001908032,0.00003364977,0.0003372657],"category_scores_gemma":[0.00001056956,0.00005286419,0.0000493667,0.0001246044,0.0000515854,0.0005840873,0.000004624604,0.0001766145,0.0002970818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001117614,"about_ca_system_score_gemma":0.00003632052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000100843,"about_ca_topic_score_gemma":0.0002224035,"domain_scores_codex":[0.9990066,0.00001489839,0.0002697526,0.00007361884,0.0004408542,0.000194304],"domain_scores_gemma":[0.9994184,0.00004063114,0.0002280801,0.00009197269,0.0001208456,0.0001000654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004907269,0.00009037471,0.1859367,0.00004535869,0.0002940172,0.00001371361,0.002198623,0.02998025,0.001966942,0.00002000366,0.00335154,0.7756118],"study_design_scores_gemma":[0.001535984,0.0006703864,0.9797183,0.00007428294,0.0000719381,0.0003531224,0.003419812,0.005338718,0.0007252176,0.001270154,0.006339718,0.0004824084],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897182,0.0001646936,0.0001071771,0.0001646123,0.00009942814,0.0001329547,0.000008175981,0.00001128663,0.009593495],"genre_scores_gemma":[0.9993113,0.00001637777,0.0003135801,0.0001536586,0.00004150637,9.013453e-7,0.00002414077,0.000003024105,0.0001355655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7937815,"threshold_uncertainty_score":0.3818485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180055171743971,"score_gpt":0.1843143326037077,"score_spread":0.172513780886268,"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."}}