{"id":"W7036318202","doi":"","title":"Applications of Photogrammetric and Computer Vision Techniques in Shake Table Testing","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shake; Table (database); Earthquake shaking table; Photogrammetry; TOPS; Visual inspection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002018121,0.00006295877,0.000101212,0.0002502868,0.00005861345,0.00005179269,0.0003628024,0.00003835472,0.000002960088],"category_scores_gemma":[0.00004355498,0.00006591879,0.00001280382,0.001875062,0.00005114999,0.0002110198,0.0003188255,0.00009204075,0.000003716885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003748685,"about_ca_system_score_gemma":0.00004381077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002783758,"about_ca_topic_score_gemma":0.00007427053,"domain_scores_codex":[0.999298,0.00001412133,0.0001790495,0.0002326629,0.0001259293,0.0001502244],"domain_scores_gemma":[0.999375,0.0001059136,0.00005676155,0.0003549082,0.00006380453,0.00004365511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002051162,0.0004861579,0.003456977,0.0000605731,0.000005467055,0.000007045401,0.0004711089,0.00007536576,0.04059521,0.1803152,0.0005878986,0.7739369],"study_design_scores_gemma":[0.002239676,0.001060348,0.0519557,0.0005837213,0.0000227506,0.0002292936,0.00006389412,0.3663641,0.06616855,0.4661939,0.04403279,0.001085287],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01527843,0.0000465169,0.9821936,0.0002470588,0.00001818697,0.0003006448,0.00001038661,0.0001317893,0.001773424],"genre_scores_gemma":[0.524445,0.000006320302,0.4754503,0.0000477573,0.00001274049,0.00003038937,0.000002812551,0.000002572605,0.000002057878],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7728516,"threshold_uncertainty_score":0.268809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697872612836573,"score_gpt":0.266192016564586,"score_spread":0.2492132904362203,"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."}}