{"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"},"query_hash":"0bf97ddced74","filters":{"venue":"2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)"}},"results":[{"id":"W4312746358","doi":"10.1109/icdcs54860.2022.00104","title":"BlinkRadar: Non-Intrusive Driver Eye-Blink Detection with UWB Radar","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Radar; Wearable computer; Computer vision; Real-time computing; Artificial intelligence; Embedded system; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01564117516143121,"gpt":0.2331430124159009,"spread":0.2175018372544697,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000379993,0.0004864636,0.0004548461,0.0003972838,0.0005319014,0.000333695,0.0008716232,0.0001179051,0.000264731],"category_scores_gemma":[0.00003238773,0.0005186825,0.0001385442,0.0006916465,0.00006981766,0.0002562853,0.0002197708,0.001012799,0.00009463579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477302,"about_ca_system_score_gemma":0.0001052501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002001494,"about_ca_topic_score_gemma":0.00002025362,"domain_scores_codex":[0.9967133,0.0001556149,0.0006475686,0.0006629938,0.001250848,0.0005697183],"domain_scores_gemma":[0.998552,0.000149906,0.0002921085,0.0004379451,0.0003891037,0.0001789291],"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":[0.0004069392,0.0003022871,0.004649631,0.0002465894,0.001371073,0.0005753229,0.001141366,0.6485537,0.3237576,0.005763833,0.007109715,0.006121946],"study_design_scores_gemma":[0.004355916,0.001235427,0.002431903,0.0008249076,0.000132342,0.0004491447,0.004384116,0.9109789,0.05485221,0.0003709355,0.0176469,0.00233732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6970897,0.0001248542,0.2775168,0.0001754361,0.01508047,0.001022604,0.001114059,0.001021129,0.006854902],"genre_scores_gemma":[0.9978286,0.00001525137,0.0001903165,0.00004073797,0.001017813,0.0001346235,0.0004366099,0.0000876887,0.00024838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3007388,"threshold_uncertainty_score":0.9997265,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312361427","doi":"10.1109/icdcs54860.2022.00098","title":"A Novel Distributed Task Scheduling Framework for Supporting Vehicular Edge Intelligence","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa; University of Toronto","funders":"","keywords":"Computer science; Distributed computing; Edge computing; Scheduling (production processes); Dynamic priority scheduling; Quality of service; Cloud computing; Computer network; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.05399883831581053,"gpt":0.3118013220349304,"spread":0.2578024837191198,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002246955,0.0006428366,0.0007322149,0.0004163634,0.001649178,0.00125773,0.004030243,0.0002081438,0.00004303616],"category_scores_gemma":[0.000646889,0.0007211508,0.0004016299,0.001272095,0.00009617168,0.0004116363,0.001477271,0.001363618,0.00004862871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006368,"about_ca_system_score_gemma":0.0004422661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001298502,"about_ca_topic_score_gemma":0.000001349823,"domain_scores_codex":[0.9937213,0.0002993827,0.001589592,0.001587977,0.001557009,0.001244706],"domain_scores_gemma":[0.9955537,0.0009797842,0.001264856,0.001003085,0.0008976717,0.000300843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001292536,0.0007529093,0.000541764,0.0001890433,0.0004860238,0.0001069092,0.001758341,0.3282608,0.005349714,0.6402032,0.00915214,0.01306988],"study_design_scores_gemma":[0.0005522789,0.0002871419,0.0001139717,0.0003810651,0.00002623978,0.0001558413,0.0008592624,0.9786578,0.0006983947,0.006137002,0.01132951,0.0008014614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02304087,0.0001122496,0.9409601,0.001490148,0.03202304,0.0009013724,0.0004820386,0.0006100726,0.0003801229],"genre_scores_gemma":[0.9762031,0.000005853828,0.01898472,0.0003757857,0.002734222,0.0002115773,0.001314796,0.00005804994,0.0001118554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9531623,"threshold_uncertainty_score":0.999779,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312710991","doi":"10.1109/icdcs54860.2022.00066","title":"ESCAPE to Precaution against Leader Failures","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Server; Candidacy; Computer science; Leader election; Voting; Competition (biology); Protocol (science); Computer security; Computer network; Distributed computing; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.03470594251748207,"gpt":0.2763322061272542,"spread":0.2416262636097721,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001062802,0.0004863132,0.0005447843,0.0003966868,0.0008474455,0.001054781,0.003257596,0.0001187722,0.0001641518],"category_scores_gemma":[0.00008173126,0.0005213345,0.000211871,0.001129892,0.00005149328,0.0004279408,0.0008282517,0.0007320234,0.000280915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009113383,"about_ca_system_score_gemma":0.0002367389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002618839,"about_ca_topic_score_gemma":0.00001472455,"domain_scores_codex":[0.9945866,0.0005072996,0.001027519,0.001276444,0.001846951,0.000755185],"domain_scores_gemma":[0.9974489,0.0001436126,0.0005545338,0.0009768688,0.0005690114,0.0003070924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009932442,0.0005407174,0.0004223648,0.00007456617,0.0002938123,0.000139852,0.001574941,0.3702184,0.005638961,0.4824794,0.1272177,0.01129997],"study_design_scores_gemma":[0.0007835816,0.0002967229,0.0006147531,0.0002309062,0.000009451285,0.0000894714,0.001280659,0.8494048,0.0002786535,0.0002696486,0.1460193,0.0007220572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04780436,0.0001853977,0.9101127,0.007035878,0.0163556,0.001336778,0.002172669,0.0009465859,0.01405005],"genre_scores_gemma":[0.9958283,0.000006836957,0.0004622271,0.0007752042,0.0004991236,0.0002383255,0.0007787037,0.00003170544,0.001379576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9480239,"threshold_uncertainty_score":0.9999822,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}