{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001594455,0.001223354,0.0008998584,0.003244726,0.001396908,0.002747341,0.001812227,0.001185623,0.008547919],"category_scores_gemma":[0.002666032,0.0009614721,0.001250744,0.001406352,0.0005404936,0.001400404,0.002685427,0.001091679,0.005434283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006451941,"about_ca_system_score_gemma":0.002792075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01264669,"about_ca_topic_score_gemma":0.02262627,"domain_scores_codex":[0.998697,0.00009539097,0.0001645179,0.0003685662,0.000551248,0.0001233231],"domain_scores_gemma":[0.9979723,0.0002392874,0.00006830651,0.0006461025,0.0008494788,0.0002245981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003600999,0.0001783574,0.008425716,0.00047937,0.0001294955,0.0009971478,0.0009416469,0.0101422,0.1176224,0.006721751,0.05485552,0.7991464],"study_design_scores_gemma":[0.0002890571,0.000239771,0.02397562,0.0004583502,0.0001490792,0.004161456,0.001255165,0.3499612,0.2213239,0.0208916,0.3767107,0.0005840554],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008915901,0.000170863,0.9252298,0.0002654145,0.0001332476,0.0004811525,0.004296589,0.05620454,0.004302531],"genre_scores_gemma":[0.044268,0.000205947,0.9419253,0.0001450381,0.00003576106,0.0003687174,0.006516012,0.002196826,0.004338423],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01264669,"threshold_uncertainty_score":0.02859569,"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."}}