{"meta":{"query_hash":"a9bf4ae4118b","filters":{"venue":"AI in Civil Engineering"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/a9bf4ae4118b","api":"https://metacan.xera.ac/api/v1/cohort?venue=AI+in+Civil+Engineering"},"results":[{"id":"W4414083005","doi":"10.1007/s43503-025-00066-6","title":"Bridging AI and explainability in civil engineering: the Yin-Yang of predictive power and interpretability","year":2025,"lang":"en","type":"article","venue":"AI in Civil Engineering","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Alberta","funders":"","keywords":"Interpretability; Bridging (networking); Decision tree; SAFER; Predictive power; Transparency (behavior); Feature engineering","score_opus":0.0053382760105264385,"score_gpt":0.23131831921004856,"score_spread":0.2259800431995221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414083005","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43401304,0.00064995553,0.56301135,0.0012535751,0.00027500096,0.00033892982,0.0000018709981,0.0000955558,0.00036073432],"genre_scores_gemma":[0.99909294,0.00002516179,0.0006622621,0.00012843782,0.000012987126,0.000058096506,2.926376e-7,0.000011612736,0.000008229852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998342,0.0000636289,0.0004941976,0.0005116246,0.00017747114,0.0004111058],"domain_scores_gemma":[0.9986842,0.0005367343,0.000048070302,0.0005873568,0.000080613216,0.00006297942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011880399,0.00022064422,0.00031424384,0.00033922418,0.000045831748,0.00009466009,0.00049809297,0.00009202472,0.000004551868],"category_scores_gemma":[0.0008989627,0.00020728304,0.000046766087,0.0009128887,0.00009621174,0.00066984893,0.00054384704,0.00047331463,5.96057e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091988346,0.0003883307,0.23451859,0.0015513763,0.00012776,0.00007835806,0.036763404,0.5467178,0.018614376,0.13580571,0.00019465866,0.025147613],"study_design_scores_gemma":[0.00013246805,0.000046217596,0.08200282,0.0003174079,0.0000044539784,0.000004904888,0.00022280026,0.90889096,0.006275562,0.0018146739,0.00011079535,0.00017694848],"about_ca_topic_score_codex":0.00027957212,"about_ca_topic_score_gemma":0.00085159374,"teacher_disagreement_score":0.56507987,"about_ca_system_score_codex":0.0001744109,"about_ca_system_score_gemma":0.00006343044,"threshold_uncertainty_score":0.8452757},"labels":[],"label_agreement":null}]}