{"id":"W3035773419","doi":"","title":"A New Workflow For LiDAR Scanning For Change Detection In Tunnels And Caverns","year":2012,"lang":"en","type":"article","venue":"46th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Workflow; Lidar; Remote sensing; Geology; Change detection; Computer science; Database","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009456929,0.0004118038,0.0004374546,0.0004742796,0.0004916558,0.0002949355,0.0005235865,0.0003353959,0.000004821734],"category_scores_gemma":[0.00009509185,0.0004418283,0.0001511622,0.0007299455,0.000004102071,0.001796275,0.0002819397,0.0002802706,0.000009481898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002098015,"about_ca_system_score_gemma":0.0001634795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008866384,"about_ca_topic_score_gemma":0.0000731711,"domain_scores_codex":[0.9972991,0.00006019427,0.0004943399,0.0007727019,0.000274279,0.001099428],"domain_scores_gemma":[0.9985699,0.000142689,0.0002951055,0.0004566698,0.0001728956,0.0003627288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000223706,0.0002202446,0.00009986702,0.0006960557,0.00009048681,0.000004042685,0.006509049,0.0005176543,0.08215438,0.05397269,0.0002157723,0.8552961],"study_design_scores_gemma":[0.002163258,0.000481006,0.00001173359,0.0003075473,0.00006769035,0.0001854854,0.0002266304,0.8541596,0.08251292,0.05446114,0.004591383,0.0008316347],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001420143,0.001224117,0.9903866,0.0005422381,0.0047891,0.001313487,0.00001825261,0.0002833545,0.00002272937],"genre_scores_gemma":[0.9063956,0.0001918289,0.09048861,0.0003352305,0.001465963,0.0006904601,0.00001336064,0.00008414939,0.0003348491],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9049754,"threshold_uncertainty_score":0.9998034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298931326467178,"score_gpt":0.2464689964550553,"score_spread":0.2234796831903835,"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."}}