{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"aa8b98eb9dd2","filters":{"venue":"Optimizations in Applied Machine Learning"}},"results":[{"id":"W4407592061","doi":"10.71070/oaml.v5i1.76","title":"MDD-based Domain Adaptation Algorithm for Improving the Applicability of the Artificial Neural Network in Vehicle Insurance Claim Fraud Detection","year":2025,"lang":"en","type":"article","venue":"Optimizations in Applied Machine Learning","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Impact","funders":"","keywords":"Artificial neural network; Computer science; Adaptation (eye); Domain adaptation; Domain (mathematical analysis); Insurance fraud; Artificial intelligence; Machine learning; Business; Finance; Psychology; Mathematics; Neuroscience","authors":[{"name":"Alan Wilson","is_ca":true},{"name":"Jiahuai Ma","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009857638806303607,"gpt":0.2412998938325175,"spread":0.2314422550262139,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00099929,0.0001270521,0.0001599528,0.0001384306,0.0003880209,0.00007670152,0.0006605422,0.00008914553,0.000001221226],"category_scores_gemma":[0.0001585501,0.0001016663,0.00004793775,0.001858026,0.00009500067,0.0001310136,0.0001531814,0.0004285906,3.929611e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208394,"about_ca_system_score_gemma":0.00008648419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008471395,"about_ca_topic_score_gemma":0.0002380274,"domain_scores_codex":[0.9985777,0.0002004277,0.0004735093,0.000370544,0.0001570124,0.0002208476],"domain_scores_gemma":[0.998673,0.0004038342,0.0002702636,0.0005692123,0.00006980047,0.0000138629],"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":[0.00001306287,0.00003789985,0.001640542,0.00001231223,0.000001634091,3.550842e-8,0.0001114117,0.7392318,0.001748297,0.01224488,0.000002321734,0.2449558],"study_design_scores_gemma":[0.0003370562,0.00001493078,0.008911888,0.00001540505,0.000003255396,1.638524e-7,0.00005911149,0.9801443,0.004277267,0.005973053,0.0001749645,0.00008859532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003589287,0.00002779747,0.9940688,0.0007150089,0.0001090138,0.001151693,0.000008817676,0.0001265115,0.0002030883],"genre_scores_gemma":[0.6759467,0.000001776245,0.3233763,0.0001168005,0.00001798395,0.0005087074,0.00001671646,0.000007739971,0.000007315597],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6723574,"threshold_uncertainty_score":0.414583,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}