{"id":"W2603716282","doi":"","title":"Field investigation of contactless displacement measurement using computer vision systems for civil engineering applications","year":2016,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; Science Foundation Ireland; Invest Northern Ireland; National Science Foundation","keywords":"Displacement (psychology); Field (mathematics); Engineering; Computer science; Mechanical engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001104718,0.0002203371,0.0002333093,0.0008313578,0.0002119409,0.000390068,0.0005358584,0.0006502957,0.001197033],"category_scores_gemma":[0.002349756,0.0001659913,0.0001167302,0.000725881,0.0004125986,0.0006439875,0.0002320992,0.0002413715,0.0002391071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000465772,"about_ca_system_score_gemma":0.0003671257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002095766,"about_ca_topic_score_gemma":0.00224622,"domain_scores_codex":[0.9991405,0.000171604,0.0000286038,0.0001212285,0.0004884207,0.00004955626],"domain_scores_gemma":[0.997871,0.0008238435,0.000134494,0.0001666485,0.000954982,0.00004897844],"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":[0.0006367863,0.0008645416,0.01430975,0.0004162697,0.00003935427,0.0002763923,0.0005501674,0.01203715,0.6998985,0.001926116,0.0009468005,0.2680981],"study_design_scores_gemma":[0.0001170679,0.006538578,0.0823876,0.00006944,0.00005600383,0.001032393,0.0005515279,0.2730427,0.6291543,0.0008502398,0.00612305,0.0000771386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8179366,0.000579628,0.1767682,0.0001317671,0.00005358994,0.0002249238,0.0001173521,0.0003647443,0.00382322],"genre_scores_gemma":[0.9521149,0.0002380985,0.04539013,0.00004442739,0.00001628997,0.00005227537,0.00009591375,0.00001354428,0.002034357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002095766,"threshold_uncertainty_score":0.005842328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056089106543207,"score_gpt":0.2775590589426049,"score_spread":0.2469981678771728,"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."}}