{"meta":{"query_hash":"16775be03a46","filters":{"venue":"Advances in Electrical and Computer Engineering"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/16775be03a46","api":"https://metacan.xera.ac/api/v1/cohort?venue=Advances+in+Electrical+and+Computer+Engineering"},"results":[{"id":"W2793742595","doi":"10.4316/aece.2018.01004","title":"An Automatic Instruction-Level Parallelization of Machine Code","year":2018,"lang":"en","type":"article","venue":"Advances in Electrical and Computer Engineering","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Parallel computing; Automatic parallelization; Code (set theory); Programming language; Compiler; Set (abstract data type)","score_opus":0.0070288078139005864,"score_gpt":0.2447830014800868,"score_spread":0.23775419366618622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793742595","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032214925,0.00020298752,0.95461994,0.00017206557,0.00005934428,0.00011950912,0.000114225135,0.008117251,0.004379735],"genre_scores_gemma":[0.2437864,0.00020570941,0.7494114,0.000117325,0.000052671825,0.00021108432,0.00068454485,0.0012454509,0.0042853723],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991442,0.00015220429,0.000044312143,0.0001817952,0.0003966068,0.00008085298],"domain_scores_gemma":[0.99887925,0.00023639102,0.000104152256,0.0003873289,0.00036959973,0.000023265366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003700095,0.0006585311,0.00044584784,0.0007652722,0.00056812924,0.0006487145,0.0007751767,0.00031660259,0.0028363895],"category_scores_gemma":[0.0019246506,0.00028385333,0.00046477493,0.0007284811,0.0005036065,0.0008116354,0.0006505775,0.0010076886,0.0015188125],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001969061,0.00015435909,0.0019433287,0.0003106276,0.000053594224,0.00013877309,0.0002846312,0.0557177,0.23755231,0.024544632,0.0069288383,0.6721742],"study_design_scores_gemma":[0.000065006985,0.00025955646,0.0026472614,0.000043173764,0.00003434283,0.00023673468,0.00006991313,0.6534551,0.29341263,0.018016748,0.031718627,0.000040886625],"about_ca_topic_score_codex":0.0014800627,"about_ca_topic_score_gemma":0.0017056868,"teacher_disagreement_score":0.0028363895,"about_ca_system_score_codex":0.00052843406,"about_ca_system_score_gemma":0.0014353901,"threshold_uncertainty_score":0.009488642},"labels":[],"label_agreement":null}]}