{"id":"W4413641307","doi":"10.1111/mice.70053","title":"Novel architecture based on dual‐view fusion for underground hidden distresses detection","year":2025,"lang":"en","type":"article","venue":"Computer-Aided Civil and Infrastructure Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Fundamental Research Funds for the Central Universities","keywords":"Architecture; Dual (grammatical number); Computer science; Fusion; Dual purpose; Artificial intelligence; Engineering; History; Art; Archaeology; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.00005255236,0.0002592521,0.0002437336,0.0001365492,0.0001132551,0.00008429774,0.0001117217,0.0001084422,0.000005695654],"category_scores_gemma":[0.00002769608,0.0002379635,0.00007959911,0.0002863434,0.00001945161,0.00005583532,0.00003987696,0.0002408231,7.379666e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004485583,"about_ca_system_score_gemma":0.00001092274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003088931,"about_ca_topic_score_gemma":0.000005762495,"domain_scores_codex":[0.9991968,0.000008430182,0.0002021407,0.0002709477,0.00008602669,0.0002356362],"domain_scores_gemma":[0.9993563,0.0002739395,0.00002493077,0.0002372975,0.00003180934,0.00007573818],"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":[0.000008490625,0.00001893626,0.000008589356,0.0006597179,0.00003638254,4.755427e-7,0.00002792289,0.6693069,0.0649256,0.003094238,0.0002168461,0.2616959],"study_design_scores_gemma":[0.0005687286,0.0000804734,0.01692149,0.000325287,0.00003763689,0.00000518341,0.000005274476,0.9580185,0.00523239,0.004317609,0.0141768,0.0003106341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03335392,0.0001724853,0.9649615,0.000119875,0.0005293417,0.0002926105,0.00002789967,0.0003245516,0.0002178253],"genre_scores_gemma":[0.9032183,0.00002365163,0.09616033,0.0001156736,0.0003229482,0.00009098493,0.00002274552,0.00003268396,0.00001263019],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8698644,"threshold_uncertainty_score":0.9703871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005063750976377023,"score_gpt":0.2096555460873109,"score_spread":0.2045917951109339,"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."}}