{"id":"W2926743677","doi":"10.11159/icgre19.134","title":"Integrating BIM Models with 3D Scenery from UAV-Assisted Survey on Embankment","year":2019,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Levee; Computer science; Construction engineering; Systems engineering; Engineering; Geotechnical engineering","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":[0.0000664805,0.0003195576,0.0002713808,0.0001274856,0.00007756583,0.00007508344,0.0001975381,0.00006863406,0.00006769504],"category_scores_gemma":[0.000006084316,0.0002229223,0.00005588817,0.0001598682,0.00006809571,0.0002629716,0.00005243907,0.000315216,0.000003307255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001214534,"about_ca_system_score_gemma":0.000003835104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000571151,"about_ca_topic_score_gemma":0.00007375929,"domain_scores_codex":[0.9989197,0.000005331241,0.0002647505,0.0002902473,0.0002918252,0.0002281338],"domain_scores_gemma":[0.9996156,0.00005992729,0.00009599267,0.0001453444,0.00001423192,0.00006897174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005279641,0.00006629713,0.0907405,0.0004315145,0.0006783811,0.00000187785,0.0005933492,0.6255414,0.2387197,0.01781466,0.0005898491,0.02429449],"study_design_scores_gemma":[0.001285788,0.0002373169,0.2294111,0.001164835,0.00006943519,0.0000183706,0.0004381134,0.698826,0.06698355,0.0004933929,0.0002267817,0.0008452752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972001,0.0001157926,0.00007553121,0.00002082744,0.0007899169,0.0002381912,0.00008039136,0.0001047554,0.001374454],"genre_scores_gemma":[0.9986333,0.00003964087,0.0009057397,0.00002782069,0.00004189276,0.00001731139,0.00002347911,0.00004796556,0.00026281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1717362,"threshold_uncertainty_score":0.9090508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006582562205163554,"score_gpt":0.1700372901665629,"score_spread":0.1634547279613993,"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."}}