{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":6,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":6,"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":"e8d90fe089b8","filters":{"venue":"Artificial Intelligence Advances"}},"results":[{"id":"W4408367943","doi":"10.30564/aia.v7i1.8704","title":"Inception Residual RNN-LSTM Hybrid Model for Predicting Pension Coverage Trends Among Private-Sector Workers in the USA","year":2025,"lang":"en","type":"article","venue":"Artificial Intelligence Advances","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Impact","funders":"","keywords":"Residual; Pension; Private sector; Business; Computer science; Artificial intelligence; Actuarial science; Economics; Finance; Economic growth; Algorithm","authors":[{"name":"Kaixian Xu","is_ca":false},{"name":"Alan Wilson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2055981293001188,"gpt":0.4380832934807722,"spread":0.2324851641806534,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001671022,0.0001683223,0.0001941443,0.0001414738,0.0008196291,0.0001738662,0.0004709558,0.00007511318,0.0000938342],"category_scores_gemma":[0.0005292378,0.0001376466,0.0001020757,0.000614695,0.0005462441,0.000659289,0.00005766728,0.0001736069,0.00001278305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000209665,"about_ca_system_score_gemma":0.0001203232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002969375,"about_ca_topic_score_gemma":0.06954917,"domain_scores_codex":[0.9977894,0.0002466091,0.0005435402,0.0004535927,0.0004782136,0.0004886378],"domain_scores_gemma":[0.9989331,0.0005223169,0.0001492683,0.0002495776,0.00008930473,0.00005637386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003300087,0.0003750515,0.6123602,0.00006252064,0.00002167991,0.000002730908,0.02169581,0.06488679,0.000342405,0.04539137,0.0005049159,0.2540265],"study_design_scores_gemma":[0.0003261583,0.0004713224,0.0899629,0.0006482584,0.0001394145,5.169664e-7,0.09091908,0.1991501,0.01493095,0.5943437,0.007998622,0.001108965],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490288,0.0001343347,0.04393005,0.001292645,0.000632105,0.0007366757,0.00001302679,0.00005517467,0.004177109],"genre_scores_gemma":[0.9981601,0.0002793969,0.0003838504,0.0002139137,0.0002218448,0.0001832678,0.00001462505,0.000008917589,0.0005340868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5489523,"threshold_uncertainty_score":0.9474291,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405790736","doi":"10.30564/aia.v6i1.8128","title":"A Novel Fingerprint Recognition Framework with Attention Mechanism Based on Domain Adaptation for Improving Applicability in Overpressured Situations","year":2024,"lang":"en","type":"article","venue":"Artificial Intelligence Advances","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Computer science; Generalizability theory; Robustness (evolution); Fingerprint (computing); Domain adaptation; Artificial intelligence; Adaptation (eye); Domain (mathematical analysis); Biometrics; Feature (linguistics); Fingerprint recognition; Machine learning; Word error rate; Reliability (semiconductor); Data mining; Pattern recognition (psychology)","authors":[{"name":"Jiahuai Ma","is_ca":false},{"name":"Alan Wilson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05617945385564249,"gpt":0.3135405589163647,"spread":0.2573611050607222,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007811057,0.0001374138,0.0001272121,0.0004165209,0.0001593419,0.000332252,0.0002784823,0.00008889367,0.000009408873],"category_scores_gemma":[0.0002890883,0.0001274322,0.00006642069,0.001568636,0.00005287657,0.0005982633,0.00002807193,0.0001776166,0.00003289223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000108742,"about_ca_system_score_gemma":0.0001007955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007365295,"about_ca_topic_score_gemma":0.0003776877,"domain_scores_codex":[0.9984065,0.00005100109,0.0003815847,0.0006344288,0.0003093576,0.0002171089],"domain_scores_gemma":[0.9987171,0.0006671248,0.0001047016,0.0003065003,0.0001555833,0.00004898721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005496386,0.0002019291,0.00000882292,0.00007068024,0.000004208833,0.000001125856,0.0006583466,0.00378672,0.005868036,0.2665602,6.900858e-7,0.7227842],"study_design_scores_gemma":[0.00003068901,0.00009672859,0.0001140322,0.00008546902,0.000005380187,6.393876e-7,0.0002458898,0.5765275,0.01335425,0.4092826,0.0001322623,0.0001246049],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007032948,0.0001062175,0.9903081,0.001036444,0.0005445789,0.0007263612,0.00002665587,0.0001737377,0.00004497869],"genre_scores_gemma":[0.7298016,0.000008471249,0.2697367,0.00008757999,0.0000519828,0.000279885,0.00002246312,0.000007255075,0.000004066144],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7227687,"threshold_uncertainty_score":0.5196535,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411251770","doi":"10.30564/aia.v7i1.9761","title":"Real-Time Personalized Ad Recommendation Based on User Behavioral Analysis","year":2025,"lang":"en","type":"article","venue":"Artificial Intelligence Advances","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"PQ Corporation (Canada)","funders":"National Science Foundation","keywords":"Computer science; Behavioral analysis; Human–computer interaction; World Wide Web; Information retrieval; Psychology; Cognitive psychology","authors":[{"name":"Yu Qiao","is_ca":false},{"name":"Kaixian Xu","is_ca":false},{"name":"Alan Wilson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04260030907643951,"gpt":0.362293764666775,"spread":0.3196934555903355,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004737506,0.0002003697,0.0003202178,0.0005471196,0.000221891,0.0002411339,0.0006620638,0.00007789765,0.0002777432],"category_scores_gemma":[0.00003389918,0.0001824854,0.0002115742,0.001822442,0.00006773874,0.0006637303,0.00007998552,0.0001242877,0.0001060334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009282562,"about_ca_system_score_gemma":0.000060538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002004824,"about_ca_topic_score_gemma":0.0001468757,"domain_scores_codex":[0.9982373,0.0001639811,0.0004994466,0.0005827035,0.0002300644,0.0002865241],"domain_scores_gemma":[0.9988842,0.0002262982,0.0001671219,0.0005245646,0.0001338609,0.0000639767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005822405,0.0004211853,0.001174763,0.00001674265,0.00009981917,0.000006910104,0.0003793882,0.001151246,0.002094036,0.1183927,0.0008382837,0.8753667],"study_design_scores_gemma":[0.0001092765,0.0005991805,0.0006226031,0.0001452408,0.0002488113,0.000001292741,0.0005805975,0.7076367,0.1723864,0.05634688,0.0604544,0.0008686751],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00365252,0.00005916068,0.986382,0.002556411,0.0004164287,0.0002607419,0.00000707419,0.0004048826,0.006260787],"genre_scores_gemma":[0.9313475,0.0001477041,0.0668736,0.0005275987,0.00003781266,0.0001132738,0.00003610545,0.0000107344,0.0009057003],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.927695,"threshold_uncertainty_score":0.7441539,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3188162669","doi":"10.30564/aia.v3i2.3219","title":"A New Approach of Intelligent Data Retrieval Paradigm","year":2021,"lang":"en","type":"article","venue":"Artificial Intelligence Advances","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"National Institute of Standards and Technology; University of Ottawa","keywords":"Computer science; Ranking (information retrieval); Rank (graph theory); Information retrieval; Focus (optics); Learning to rank; Scheme (mathematics); Raw data; Resource (disambiguation); Data mining","authors":[{"name":"Falah Al-akashi","is_ca":false},{"name":"Diana Inkpen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1224249652235475,"gpt":0.3434368944768644,"spread":0.2210119292533169,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004713476,0.0001699542,0.0002541017,0.0000973027,0.0000886901,0.0002304966,0.003048389,0.00004274263,0.000132171],"category_scores_gemma":[0.0002336878,0.0001623177,0.0000641161,0.001192912,0.00009473382,0.002354366,0.0014752,0.0001331813,0.0002207933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001655486,"about_ca_system_score_gemma":0.0001649935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004389552,"about_ca_topic_score_gemma":0.00003122329,"domain_scores_codex":[0.9977603,0.0000662192,0.0005485663,0.0008457772,0.0004521,0.0003270325],"domain_scores_gemma":[0.9975632,0.0001359368,0.0001722416,0.001914308,0.00009102093,0.0001233293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001018407,0.0001045885,0.00002075615,0.00002002263,0.00002015813,0.00001710186,0.0001741134,0.0002686991,0.0001847104,0.3783351,0.0005419062,0.6203026],"study_design_scores_gemma":[0.00004228066,0.00009043505,0.00002433024,0.00005345853,0.00003236717,0.00001443177,0.0008968061,0.1912932,0.2600226,0.4260475,0.1210048,0.0004778519],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001483011,0.002885106,0.9915929,0.0007715041,0.0006953506,0.0001307067,0.00001686396,0.00008534943,0.003673904],"genre_scores_gemma":[0.09784024,0.003762218,0.8960366,0.0003024174,0.0004726922,0.000005197692,0.0002725018,0.00002312179,0.001285059],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6198248,"threshold_uncertainty_score":0.6619123,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408343575","doi":"10.30564/aia.v5i1.8691","title":"A Novel Domain Adaptation-based Framework for Face Recognition Under Darkened and Overexposed Situations","year":2023,"lang":"en","type":"article","venue":"Artificial Intelligence Advances","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"PQ Corporation (Canada)","funders":"","keywords":"Adaptation (eye); Face (sociological concept); Domain (mathematical analysis); Domain adaptation; Computer science; Facial recognition system; Artificial intelligence; Pattern recognition (psychology); Optics; Physics; Mathematics; Sociology","authors":[{"name":"Jiahuai Ma","is_ca":false},{"name":"Alan Wilson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1165811877133283,"gpt":0.3410274188528428,"spread":0.2244462311395145,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003088519,0.0001396554,0.0001529667,0.000230107,0.0003439224,0.0002061514,0.0002336232,0.00006931005,0.00002877151],"category_scores_gemma":[0.0003545003,0.0001405878,0.00008891132,0.001155373,0.00008727251,0.0006396971,0.00003612172,0.00008870647,0.0001710652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002490756,"about_ca_system_score_gemma":0.00007280574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001454414,"about_ca_topic_score_gemma":0.00016071,"domain_scores_codex":[0.9987263,0.00004097058,0.0003190145,0.0004307707,0.0002195228,0.0002634393],"domain_scores_gemma":[0.9983262,0.001081938,0.0001249535,0.000197723,0.0001817393,0.00008743771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003473561,0.0001336702,0.00001902751,0.00003059555,0.00003296027,0.000001459987,0.001137746,0.04508115,0.008255463,0.2032211,0.00002490356,0.7420272],"study_design_scores_gemma":[0.00004002157,0.00004613402,0.00004304274,0.00003839746,0.000009804512,5.699686e-7,0.002238542,0.4032679,0.01761336,0.5764138,0.0001397279,0.0001488204],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006965511,0.00008598209,0.9880841,0.004003691,0.0002057826,0.0002842234,0.00004657841,0.0002472134,0.00007696165],"genre_scores_gemma":[0.5986297,0.0001240636,0.400273,0.0006589019,0.00005921438,0.0001348023,0.00008109469,0.00001127706,0.00002792952],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7418783,"threshold_uncertainty_score":0.5733002,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4377141943","doi":"10.5121/csit.2023.130701","title":"Efficient Implementation of Tanh: A Comparative Study of New Results","year":2023,"lang":"en","type":"article","venue":"Artificial Intelligence Advances","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Hyperbolic function; CORDIC; Activation function; Computer science; Field-programmable gate array; Exponential function; Artificial neural network; Function (biology); Division (mathematics); Tangent; Algorithm; Computational science; Arithmetic; Mathematics; Artificial intelligence; Computer hardware; Mathematical analysis","authors":[{"name":"Samira Sorayaasa","is_ca":true},{"name":"Majid Ahmadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1344269605312857,"gpt":0.4279804780299598,"spread":0.293553517498674,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001899436,0.00008030209,0.0001601229,0.0000936194,0.00007689669,0.00002048883,0.0004245857,0.00001272903,0.000007708209],"category_scores_gemma":[0.00001274718,0.00007066418,0.00003395191,0.001386267,0.00004784275,0.0001295744,0.0001039308,0.00004617107,0.0000390101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008058841,"about_ca_system_score_gemma":0.00003466074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002304401,"about_ca_topic_score_gemma":0.0005159616,"domain_scores_codex":[0.9987727,0.00003654595,0.0005310863,0.0002654703,0.000239081,0.000155094],"domain_scores_gemma":[0.9991497,0.0001758264,0.0002492751,0.0002789996,0.0001026766,0.00004349028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005395156,0.0005051036,0.0004180047,0.00001065733,0.00002482765,0.000002884968,0.02664634,0.381421,0.007871114,0.102576,0.000470655,0.4799994],"study_design_scores_gemma":[0.0002110177,0.001449036,0.004032094,0.00003945829,0.00001850162,0.000001133999,0.05609576,0.2931212,0.5821627,0.06182119,0.0007458508,0.0003020809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8727068,0.00006262992,0.1261264,0.0003089045,0.0001599968,0.0004283469,0.000007730277,0.00006635083,0.0001328402],"genre_scores_gemma":[0.9977749,0.00002272047,0.00210938,0.000009083196,0.00003467023,0.00002059177,0.000002981248,0.000002608213,0.00002306504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5742915,"threshold_uncertainty_score":0.2881602,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}