{"meta":{"query_hash":"f4aec6c1e3ba","filters":{"venue":"Proceedings of the tenth ACM international conference on Multimedia - MULTIMEDIA '02"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/f4aec6c1e3ba","api":"https://metacan.xera.ac/api/v1/cohort?venue=Proceedings+of+the+tenth+ACM+international+conference+on+Multimedia+-+MULTIMEDIA+%2702"},"results":[{"id":"W4210285687","doi":"10.1145/641029.641032","title":"Painting with looks","year":2002,"lang":"en","type":"article","venue":"Proceedings of the tenth ACM international conference on Multimedia - MULTIMEDIA '02","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science; Object (grammar); Frame (networking); Feature (linguistics); Inter frame; Reference frame","score_opus":0.042136256905345594,"score_gpt":0.2700470093876969,"score_spread":0.2279107524823513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210285687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8601592,0.000013765282,0.00026002448,0.009721385,0.0006551489,0.000994379,0.00011130426,0.00012037134,0.1279644],"genre_scores_gemma":[0.98723006,0.000007559158,0.010128375,0.0001288165,0.00033688213,0.00015789879,0.000011723193,0.000020550904,0.0019781177],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981324,0.000007989027,0.00036123124,0.00044380056,0.0007060903,0.00034848176],"domain_scores_gemma":[0.99838537,0.00016048261,0.00041800857,0.0002865186,0.00060802826,0.00014156637],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019578954,0.0002538038,0.0002239165,0.00012915222,0.00019298431,0.00012780448,0.0017469379,0.00005318222,0.0022728902],"category_scores_gemma":[0.00021585838,0.00017183977,0.00013506792,0.00028109443,0.00033313213,0.00030504738,0.0003105612,0.0003403094,0.00018568334],"study_design_candidate":"simulation_or_modeling","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":[0.00016158055,0.0019697358,0.48964086,0.00005597778,0.00047984865,0.0000016080324,0.007833331,0.000104595056,0.0794847,0.08600807,0.011604965,0.32265472],"study_design_scores_gemma":[0.005059769,0.0004482065,0.05248548,0.0008568331,0.0002005261,0.000010214895,0.008681521,0.76836866,0.1421014,0.013161403,0.007062669,0.0015632835],"about_ca_topic_score_codex":0.000091557624,"about_ca_topic_score_gemma":0.00000516529,"teacher_disagreement_score":0.7682641,"about_ca_system_score_codex":0.00004303335,"about_ca_system_score_gemma":0.000037440986,"threshold_uncertainty_score":0.99863917},"labels":[],"label_agreement":null},{"id":"W4230250840","doi":"10.1145/641029.641033","title":"Rate adaptation transcoding for precoded video streams","year":2002,"lang":"en","type":"article","venue":"Proceedings of the tenth ACM international conference on Multimedia - MULTIMEDIA '02","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Transcoding; Macroblock; Computer science; Real-time computing; Video quality; Quantization (signal processing); Bitstream; Frame (networking); Frame rate; Bit rate; Computer vision; Computer network; Algorithm; Decoding methods","score_opus":0.12485078378457057,"score_gpt":0.3240240450567852,"score_spread":0.19917326127221466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230250840","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3762381,0.00048397933,0.3774455,0.1581639,0.022379601,0.014873672,0.0010576647,0.0021780825,0.047179468],"genre_scores_gemma":[0.8589292,0.00010705993,0.1389914,0.00042890594,0.00025247538,0.00027381149,0.000020476384,0.000026816298,0.0009698099],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99708897,0.000041104962,0.0007484731,0.00071717653,0.0009255161,0.0004787808],"domain_scores_gemma":[0.99690443,0.0006539387,0.0006468082,0.00043919144,0.0011845798,0.00017107479],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006913319,0.00036885007,0.00037210505,0.0002578904,0.00020076851,0.00033607607,0.003472294,0.0001437147,0.0002388173],"category_scores_gemma":[0.0020168922,0.0002912929,0.00029088111,0.00029168307,0.00016621257,0.0012673131,0.00036178323,0.0003369709,0.00006551268],"study_design_candidate":"simulation_or_modeling","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":[0.0004780586,0.002112406,0.0030760677,0.00041352017,0.0006655232,0.000004138889,0.033611067,0.0004005429,0.16536605,0.06822684,0.0123221325,0.71332365],"study_design_scores_gemma":[0.0019590934,0.00019486021,0.0011864405,0.00025785074,0.000038100658,0.0000036118722,0.0006537042,0.9163032,0.07469307,0.0037222004,0.0006463247,0.00034154634],"about_ca_topic_score_codex":0.000056077362,"about_ca_topic_score_gemma":0.000014073826,"teacher_disagreement_score":0.9159027,"about_ca_system_score_codex":0.00015037978,"about_ca_system_score_gemma":0.00007218776,"threshold_uncertainty_score":0.9999539},"labels":[],"label_agreement":null},{"id":"W4256013194","doi":"10.1145/641083.641085","title":"Digital image watermarking for joint ownership","year":2002,"lang":"en","type":"article","venue":"Proceedings of the tenth ACM international conference on Multimedia - MULTIMEDIA '02","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Digital watermarking; Watermark; Computer science; Robustness (evolution); Invisibility; Wavelet; Computer vision; Artificial intelligence; Image (mathematics); Cryptography; Digital image; Gaussian; Theoretical computer science; Computer security; Image processing","score_opus":0.06624413918801972,"score_gpt":0.2784840554877097,"score_spread":0.21223991629969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256013194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27060482,0.0004454085,0.2819767,0.11535678,0.02471681,0.016411467,0.0017572015,0.0076603484,0.28107047],"genre_scores_gemma":[0.7868053,0.0000622971,0.21152149,0.00021773376,0.0002330625,0.00018906023,0.000016416812,0.000031588737,0.0009230778],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99716663,0.000014446929,0.00065644016,0.0007195549,0.0008745011,0.00056843297],"domain_scores_gemma":[0.99748206,0.000271562,0.00060439855,0.00053303095,0.00092946226,0.000179512],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035276727,0.00041821392,0.00038048468,0.00037989096,0.00021220003,0.0005058687,0.0043606563,0.0001578711,0.000075263546],"category_scores_gemma":[0.0015010962,0.00029310264,0.00038803325,0.00029636608,0.00035349582,0.0016867492,0.001010257,0.00040311506,0.000037288326],"study_design_candidate":"design_other","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":[0.0004106138,0.0016194746,0.016907722,0.00038929982,0.0005435827,0.000013721199,0.009698948,0.000016628963,0.22715335,0.044143267,0.016561992,0.68254143],"study_design_scores_gemma":[0.0024065098,0.00036696024,0.0026706292,0.00076064264,0.0000428067,0.000032419954,0.00028524548,0.6193451,0.33855346,0.029285595,0.005259815,0.0009908195],"about_ca_topic_score_codex":0.0000056949752,"about_ca_topic_score_gemma":7.989501e-7,"teacher_disagreement_score":0.68155056,"about_ca_system_score_codex":0.00009758741,"about_ca_system_score_gemma":0.000023592938,"threshold_uncertainty_score":0.99995214},"labels":[],"label_agreement":null}]}