{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004141885,0.0002132456,0.0001997375,0.0002552092,0.0001563454,0.00004921604,0.0002639456,0.00006835078,0.00002129587],"category_scores_gemma":[0.00006523121,0.0001349565,0.00005414644,0.001131488,0.0000420113,0.00006889053,0.00002081314,0.0003063347,0.0000138345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003988425,"about_ca_system_score_gemma":0.00001312129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002536287,"about_ca_topic_score_gemma":0.0008282712,"domain_scores_codex":[0.9987084,0.00007157693,0.0002241663,0.0001856223,0.0004099602,0.0004003271],"domain_scores_gemma":[0.9992522,0.00009802901,0.00005904256,0.0004029601,0.00009695593,0.0000908014],"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":[0.00004384177,0.000003282182,0.004766524,0.000063973,0.00004203611,8.003667e-7,0.0001053761,0.0003060197,0.0006014096,0.00002272635,0.0003421378,0.9937019],"study_design_scores_gemma":[0.002056167,0.00161151,0.6576497,0.0002344275,0.0002293164,0.0002170838,0.0001649235,0.2783535,0.01810968,0.006172542,0.0334998,0.001701337],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788407,0.0002896113,0.01660638,0.00005323973,0.001230791,0.0005504122,0.000001417609,0.001220862,0.001206577],"genre_scores_gemma":[0.9949781,0.00009007969,0.004548888,0.00003776298,0.0001732147,0.0001004852,0.000001703266,0.00005147322,0.00001829902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9920005,"threshold_uncertainty_score":0.5503368,"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."}}