{"id":"W1969327398","doi":"10.1111/phor.12047","title":"Structural Dynamic Deflection Measurement With Range Cameras","year":2014,"lang":"en","type":"article","venue":"The Photogrammetric Record","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Deflection (physics); High dynamic range; Displacement (psychology); Millimeter; Computer science; Dynamic range; Optics; Beam (structure); Acoustics; Stiffness; Engineering; Computer vision; Structural engineering; Physics","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":[0.0002618004,0.0002192545,0.0001995905,0.0007065709,0.0001346571,0.000257893,0.0003469518,0.0003305763,0.00196859],"category_scores_gemma":[0.0007074808,0.0001736726,0.000113133,0.0003408252,0.0001620829,0.0004067371,0.0003369355,0.0003571235,0.0004437228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000201933,"about_ca_system_score_gemma":0.0001454017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007115643,"about_ca_topic_score_gemma":0.0009070129,"domain_scores_codex":[0.9995545,0.00005341816,0.00001147783,0.00007623305,0.0002759229,0.00002840948],"domain_scores_gemma":[0.9995432,0.0001300456,0.00004637494,0.00006053516,0.0001979954,0.00002191333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009886083,0.00003500723,0.002755435,0.00008349358,0.00001476188,0.00007344423,0.00009182149,0.003292443,0.909754,0.0004173168,0.0004012935,0.08298211],"study_design_scores_gemma":[0.0000388461,0.0004880625,0.03150994,0.00003932159,0.00003379691,0.0008406838,0.0001459349,0.07745013,0.8844002,0.0004003824,0.004575965,0.00007671266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5428061,0.001042151,0.4459603,0.0001111531,0.00005639507,0.0001286773,0.0004969616,0.001414719,0.007983478],"genre_scores_gemma":[0.851813,0.0002989256,0.1453959,0.00004806711,0.00001803829,0.00006740888,0.0001812996,0.00004960276,0.002127621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00196859,"threshold_uncertainty_score":0.006585598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366838746444642,"score_gpt":0.2527693440359874,"score_spread":0.229100956571541,"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."}}