{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"4af2eeba026a","filters":{"venue":"Indian Conference on Computer Vision, Graphics and Image Processing"}},"results":[{"id":"W45057407","doi":"","title":"Low-Band-Shifted Hierarchical Backward Motion Estimation, Compensation for Wavelet-Based Video Coding.","year":2002,"lang":"en","type":"article","venue":"Indian Conference on Computer Vision, Graphics and Image Processing","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Motion compensation; Motion estimation; Quarter-pixel motion; Computer science; Wavelet; Inter frame; Reference frame; Artificial intelligence; Computer vision; Wavelet transform; Block-matching algorithm; Quantization (signal processing); Algorithm; Mathematics; Frame (networking); Video processing; Telecommunications; Video tracking","retraction":null,"screen_n_in":null,"score":{"opus":0.0267959281425011,"gpt":0.2867228533230879,"spread":0.2599269251805869,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004369252,0.0003785446,0.000368894,0.0005882414,0.0007434167,0.001372913,0.0007971904,0.0001778252,0.00001811259],"category_scores_gemma":[0.0001014305,0.0003534345,0.00008854703,0.0006415134,0.0002573885,0.00169903,0.0001711753,0.0003867245,0.00000963502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004151326,"about_ca_system_score_gemma":0.00008615095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003599867,"about_ca_topic_score_gemma":0.000002128073,"domain_scores_codex":[0.9973733,0.0001299036,0.0005806555,0.0009761549,0.0004899488,0.0004499835],"domain_scores_gemma":[0.9978406,0.0003051958,0.0003632553,0.0006145903,0.0006333203,0.0002430714],"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":[0.0000281561,0.0002057717,0.00002944111,0.0002106605,0.000007361779,0.00001298886,0.000423694,0.00004634562,0.0009884504,0.02570706,0.001045718,0.9712943],"study_design_scores_gemma":[0.0008755866,0.0004030805,0.001056517,0.0007432362,0.000007033853,0.00001766617,0.000005612937,0.9609855,0.006099803,0.0289636,0.0004146872,0.0004277114],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004442658,0.0000587049,0.9912257,0.00298459,0.0001587653,0.0005657625,0.0000284029,0.0004725761,0.00006286103],"genre_scores_gemma":[0.5580108,0.00003725592,0.4409027,0.0008685974,0.00005485417,0.00004286137,0.00005683861,0.0000193996,0.000006653399],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9708666,"threshold_uncertainty_score":0.9998918,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W34256809","doi":"10.1186/s13059-021-02408-w","title":"Encoding Quadrilateral Meshes in 2.40 bits per Vertex.","year":2004,"lang":"en","type":"article","venue":"Indian Conference on Computer Vision, Graphics and Image Processing","topic":"Algorithms and Data Compression","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":"University of Windsor; University of Toronto","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Vertex (graph theory); Polygon mesh; Quadrilateral; Encoding (memory); Coding (social sciences); Computer science; Combinatorics; Mathematics; Algorithm; Discrete mathematics; Arithmetic; Artificial intelligence; Physics; Computer graphics (images); Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.01784777943989866,"gpt":0.2720468687869445,"spread":0.2541990893470458,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003304932,0.0003308514,0.0003201105,0.0005462816,0.0004196478,0.001737694,0.0008154771,0.0001344044,0.000008178799],"category_scores_gemma":[0.00001230593,0.0002786396,0.00005878225,0.000560245,0.0001496529,0.002154818,0.000479029,0.0004192389,0.00001645661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003708592,"about_ca_system_score_gemma":0.0002101981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008806406,"about_ca_topic_score_gemma":0.00002968063,"domain_scores_codex":[0.9977753,0.00006403711,0.0004186641,0.000851666,0.0003972941,0.0004930464],"domain_scores_gemma":[0.9989687,0.00005318599,0.0001512876,0.000437661,0.0001780025,0.0002111877],"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":[0.00005543394,0.0004587635,0.00228943,0.0002448671,0.00002038788,0.0005523998,0.0100942,0.0001495459,0.003696518,0.07338809,0.0002220218,0.9088283],"study_design_scores_gemma":[0.003466991,0.001094908,0.0560591,0.004564653,0.00001212887,0.0003194395,0.0001891781,0.8143365,0.002382432,0.1145425,0.001248828,0.001783396],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2556115,0.0003283617,0.7407268,0.002077126,0.0004521734,0.000221152,0.000007198407,0.0001717314,0.0004039794],"genre_scores_gemma":[0.9133437,0.0001648643,0.08556841,0.0008013536,0.00008055279,0.000008003293,0.000009115237,0.00001632635,0.00000768565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9070449,"threshold_uncertainty_score":0.9999666,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}