{"id":"W3113543587","doi":"10.1155/2020/8846955","title":"A 3D Image Reconstruction Model for Long Tunnel Geological Estimation","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Chang'an University; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Ground-penetrating radar; Excavation; Process (computing); Filter (signal processing); Computer vision; Visualization; Computer science; Position (finance); Artificial intelligence; Radar; Face (sociological concept); Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000314313,0.0008334801,0.0004926949,0.001075263,0.0003182018,0.001309201,0.0009502432,0.001049895,0.005759001],"category_scores_gemma":[0.0006742433,0.0005594005,0.00157159,0.001096243,0.0003496564,0.0009226864,0.0009174428,0.0008176196,0.002377053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003884225,"about_ca_system_score_gemma":0.001092216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009080312,"about_ca_topic_score_gemma":0.005521533,"domain_scores_codex":[0.9997528,0.00003043849,0.00001629386,0.00007508968,0.0001017024,0.000023665],"domain_scores_gemma":[0.9998456,0.00002587378,0.00002097345,0.00003106198,0.00006667493,0.000009867734],"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":[0.0001352408,0.00004925908,0.002331545,0.0002101703,0.00005763426,0.000629744,0.0002524453,0.7249088,0.02394276,0.01189627,0.00466649,0.2309197],"study_design_scores_gemma":[0.000004554917,0.0000231527,0.0005374023,0.00001660851,0.00001550301,0.0001782599,0.00004042684,0.9896039,0.003049814,0.001205619,0.005302496,0.00002230573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006603633,0.0001364625,0.9894032,0.00008634188,0.00003218171,0.00005140411,0.0003272351,0.001184934,0.002174603],"genre_scores_gemma":[0.3243176,0.001283427,0.6610736,0.0001036211,0.00004517684,0.0003271959,0.002611361,0.0004385822,0.009799325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009080312,"threshold_uncertainty_score":0.01926577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020469821342929,"score_gpt":0.2699581112260405,"score_spread":0.2497534130126112,"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."}}