{"id":"W2168811180","doi":"10.5194/isprsarchives-xxxix-b1-103-2012","title":"IMAGE-BASED DEFORMATION MONITORING OF STATICALLY AND DYNAMICALLY LOADED BEAMS","year":2012,"lang":"en","type":"article","venue":"˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Calgary","keywords":"Photogrammetry; Serviceability (structure); Structural health monitoring; Deformation monitoring; Actuator; Computer science; Orientation (vector space); Instrumentation (computer programming); Deformation (meteorology); Structural engineering; Engineering; Geology; Computer vision; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001683178,0.000236548,0.0002595138,0.0007973196,0.0001383803,0.0002124115,0.0003292949,0.0003675846,0.002748717],"category_scores_gemma":[0.0003040672,0.000168439,0.0001473456,0.0004266821,0.0002001424,0.0002756917,0.0002249534,0.0002044032,0.0004362361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001739043,"about_ca_system_score_gemma":0.00012456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006707602,"about_ca_topic_score_gemma":0.001428762,"domain_scores_codex":[0.9998266,0.00001628943,0.000006251728,0.00004775546,0.00008557483,0.00001763345],"domain_scores_gemma":[0.9997438,0.00004985519,0.0000421753,0.00004012939,0.0001008901,0.00002314372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003683767,0.00008059453,0.00559195,0.0001233958,0.00002443781,0.00009937822,0.0001185442,0.002837083,0.922051,0.0001172442,0.0003857324,0.06820232],"study_design_scores_gemma":[0.00004576186,0.0007439916,0.1741861,0.00004281621,0.00008962496,0.0007439874,0.0001791328,0.0971466,0.7241411,0.0001765329,0.002435989,0.00006851192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916598,0.0004196991,0.07794963,0.00005816862,0.00005358218,0.00006342503,0.0005396807,0.000750209,0.003567585],"genre_scores_gemma":[0.9801413,0.0001158798,0.01806088,0.00002029731,0.000009007821,0.00001997562,0.0001308138,0.00002299728,0.001478876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002748717,"threshold_uncertainty_score":0.009195387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802511743458811,"score_gpt":0.2455798226284376,"score_spread":0.2275547051938495,"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."}}