{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"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":"3ec940164f57","filters":{"venue":"IEEE reliability magazine "}},"results":[{"id":"W4401211805","doi":"10.1109/mrl.2024.3430192","title":"The Role of Data Quality for Reliable AI Performance in Medical Applications","year":2024,"lang":"en","type":"article","venue":"IEEE reliability magazine ","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Quality (philosophy); Computer science; Reliability engineering; Artificial intelligence; Engineering","authors":[{"name":"Nastaran Enshaei","is_ca":true},{"name":"Farnoosh Naderkhani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1309250564315619,"gpt":0.4731493103841323,"spread":0.3422242539525705,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.055912,0.0009075921,0.001187002,0.003494615,0.002040687,0.015128,0.003621493,0.004243763,0.007328337],"category_scores_gemma":[0.2582747,0.000836166,0.0004764866,0.004756608,0.005919562,0.01443572,0.005337167,0.004681373,0.004743963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004569572,"about_ca_system_score_gemma":0.008177082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00366016,"about_ca_topic_score_gemma":0.001954395,"domain_scores_codex":[0.9365355,0.02871027,0.00584594,0.004024567,0.0237487,0.001135129],"domain_scores_gemma":[0.7068942,0.1991198,0.0146864,0.02829404,0.04723761,0.003767922],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007009882,0.0001571758,0.0145264,0.002201433,0.0001510908,0.0004153917,0.001916825,0.01578856,0.005787476,0.3062051,0.08128782,0.5708618],"study_design_scores_gemma":[0.0001844808,0.0004494382,0.008020379,0.002491035,0.0001595184,0.001149018,0.001330566,0.09686017,0.01403108,0.5863053,0.2887687,0.00025043],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02077327,0.04838379,0.685228,0.183642,0.003014579,0.0005963916,0.002506977,0.003845718,0.05200925],"genre_scores_gemma":[0.571391,0.02375618,0.3705911,0.01520035,0.007503045,0.0007243209,0.003280774,0.002219161,0.005334046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.944088,"threshold_uncertainty_score":0.2956945,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402666373","doi":"10.1109/mrl.2024.3451429","title":"Electric Vehicle-Based Load-Altering Attacks and Their Impacts on Power Grids Operations","year":2024,"lang":"en","type":"article","venue":"IEEE reliability magazine ","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Power grid; Computer science; Electric vehicle; Power (physics); Automotive engineering; Engineering; Physics","authors":[{"name":"Ahmadreza Abazari","is_ca":true},{"name":"Mohammad Mahdi Soleymani","is_ca":true},{"name":"Saba Marandi","is_ca":true},{"name":"Mohsen Ghafouri","is_ca":true},{"name":"Danial Jafarigiv","is_ca":true},{"name":"Ribal Atallah","is_ca":false},{"name":"Chadi Assi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007417567147337064,"gpt":0.2293402125052184,"spread":0.2219226453578813,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007169566,0.0005285847,0.000249598,0.0004939439,0.0001917265,0.0008070163,0.0003167563,0.0004038829,0.0008906543],"category_scores_gemma":[0.003001842,0.0001329653,0.0002511691,0.0005436023,0.0003983917,0.001195181,0.000640001,0.0005250846,0.0001277658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006599337,"about_ca_system_score_gemma":0.0002280218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005182073,"about_ca_topic_score_gemma":0.003536001,"domain_scores_codex":[0.9995529,0.00017106,0.00001958978,0.00005557992,0.0001306543,0.00007027797],"domain_scores_gemma":[0.998393,0.000913476,0.0002819672,0.0001180966,0.0002241193,0.0000693616],"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":[0.0002786774,0.0001191074,0.03137556,0.00009429725,0.00006751968,0.0004955425,0.00008702567,0.9363503,0.002491406,0.005547178,0.001610754,0.02148257],"study_design_scores_gemma":[0.00001161347,0.0002124581,0.02185152,0.00002041866,0.00003088025,0.0001328534,0.0002246206,0.9696794,0.002431294,0.004309893,0.001074255,0.00002082184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769138,0.0006549065,0.01330046,0.0005726675,0.00005099325,0.00003580918,0.0003597734,0.0002098592,0.00790173],"genre_scores_gemma":[0.9990131,0.0001677308,0.0003894983,0.0000126281,0.000004279001,0.000003876431,0.0000961757,0.000007579109,0.0003051439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005182073,"threshold_uncertainty_score":0.01030385,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404520961","doi":"10.1109/mrl.2024.3485010","title":"Reliability and Resilience of Systems of Systems","year":2024,"lang":"en","type":"article","venue":"IEEE reliability magazine ","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Hydro-Québec","funders":"","keywords":"Resilience (materials science); Reliability (semiconductor); Reliability engineering; Computer science; Risk analysis (engineering); Business; Engineering; Materials science; Physics","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0351773801022073,"gpt":0.3329315774050151,"spread":0.2977541973028078,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001972513,0.0009173935,0.0008264343,0.001700046,0.0007932244,0.002634317,0.0008137608,0.001589514,0.002950159],"category_scores_gemma":[0.009677571,0.0003494203,0.0006245113,0.001157204,0.004069135,0.00295571,0.001948657,0.001526629,0.0004901137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162386,"about_ca_system_score_gemma":0.001121289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00296959,"about_ca_topic_score_gemma":0.0009837141,"domain_scores_codex":[0.9980888,0.0006665429,0.00011951,0.0004031318,0.0005235339,0.0001984991],"domain_scores_gemma":[0.9950716,0.002780756,0.0007747678,0.0005987826,0.0005878634,0.0001862566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004171225,0.00002067255,0.002399696,0.0003199085,0.0001410168,0.000305359,0.0003878607,0.2436141,0.002785773,0.7134674,0.003331316,0.03318517],"study_design_scores_gemma":[0.0000139733,0.00007033931,0.0020335,0.0001437454,0.00003948199,0.0002436795,0.0001842004,0.239502,0.0007206511,0.7386487,0.01836182,0.00003791042],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.08785584,0.01650721,0.8248539,0.009339199,0.0008503393,0.0001619648,0.0008105873,0.0009369614,0.05868402],"genre_scores_gemma":[0.9518782,0.006806066,0.03443678,0.0004704915,0.0007893093,0.0001812775,0.0002540259,0.0001030115,0.005080841],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00296959,"threshold_uncertainty_score":0.01178193,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}