{"id":"W2131277585","doi":"10.1007/s10921-011-0108-6","title":"Photogrammetry Assisted Measurement of Interstory Drift for Rapid Post-disaster Building Damage Reconnaissance","year":2011,"lang":"en","type":"article","venue":"Journal of Nondestructive Evaluation","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Photogrammetry; Global Positioning System; USable; Range (aeronautics); Remote sensing; Engineering; Computer science; Geology; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003804875,0.0001136593,0.0002316999,0.0001361195,0.00007842185,0.0000188393,0.000169082,0.00005895721,0.0009654591],"category_scores_gemma":[0.0005671039,0.00008633392,0.0001536571,0.0001415464,0.00007666717,0.0004449604,0.000004628923,0.0001393973,0.000003048012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003894086,"about_ca_system_score_gemma":0.0001252758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001293649,"about_ca_topic_score_gemma":0.0003349844,"domain_scores_codex":[0.9982347,0.000349093,0.0004868573,0.0001327406,0.0006457478,0.0001508174],"domain_scores_gemma":[0.9973843,0.0001015095,0.0006886594,0.0001036772,0.001644324,0.00007760784],"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":[0.00208892,0.0001303954,0.1793018,0.0001211951,0.0003686071,0.000005839587,0.005567197,0.0002419355,0.05894221,0.00002279817,0.0004369773,0.7527721],"study_design_scores_gemma":[0.000996571,0.001174179,0.9844004,0.0001626094,0.000125997,0.0000416191,0.002681786,0.002257808,0.007050314,0.0008843721,0.00009075068,0.0001336122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99273,0.0005865573,0.003787427,0.00001974298,0.0009092087,0.0002745365,0.0000246786,0.000005626231,0.001662174],"genre_scores_gemma":[0.9884191,0.000006981869,0.01141895,0.00002917408,0.0001007172,0.000001540216,0.000008936755,0.000004155645,0.00001047014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8050985,"threshold_uncertainty_score":0.9999478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.169598085764766,"score_gpt":0.2928562599282438,"score_spread":0.1232581741634777,"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."}}