{"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":"1f3aef7e18f4","filters":{"venue":"International Transactions on Electrical Engineering and Computer Science"}},"results":[{"id":"W4393856775","doi":"10.62760/iteecs.2.4.2023.68","title":"Convolutional Neural Networks Grid Search Optimizer Based Brain Tumor Detection","year":2023,"lang":"en","type":"article","venue":"International Transactions on Electrical Engineering and Computer Science","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Conestoga College","funders":"","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Grid; Machine learning; Mathematics","authors":[{"name":"Pushpak Kurella","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01992942430173805,"gpt":0.2449339309749309,"spread":0.2250045066731929,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032841,0.000135343,0.00009060681,0.0006502715,0.0003659543,0.0001925687,0.0003154099,0.00003976162,0.00002353123],"category_scores_gemma":[0.00009708793,0.0001362685,0.00006091087,0.001842221,0.0001554823,0.0002638511,0.00001081108,0.0003686371,0.00002841996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001433677,"about_ca_system_score_gemma":0.00005028907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005681549,"about_ca_topic_score_gemma":5.663029e-7,"domain_scores_codex":[0.9983343,0.00004266257,0.0001851867,0.0005183261,0.0005781759,0.0003413286],"domain_scores_gemma":[0.9991491,0.0004494649,0.0000317005,0.0001364112,0.00008198003,0.0001512919],"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":[0.00002993673,0.00004469354,0.000005279701,0.000002210614,0.000002962222,0.000007454403,0.00001210852,0.9295394,0.02718627,0.0006286034,0.00003563047,0.04250546],"study_design_scores_gemma":[0.0003062315,0.0001183218,0.002316122,0.000007706626,0.000002101249,0.00008071353,0.000001596542,0.9646866,0.03200145,0.00001948648,0.000321534,0.0001381155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03937054,0.000003447455,0.9567945,0.001583084,0.001631427,0.0001130534,0.000006837425,0.0004445189,0.00005258055],"genre_scores_gemma":[0.9981145,0.000006296923,0.000675262,0.0008777278,0.0001864463,0.0000371265,0.000002092715,0.00001286457,0.00008768584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9587439,"threshold_uncertainty_score":0.555687,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}