{"meta":{"query_hash":"3b1736849104","filters":{"venue":"Synthesis lectures on image, video, and multimedia processing"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"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/3b1736849104","api":"https://metacan.xera.ac/api/v1/cohort?venue=Synthesis+lectures+on+image%2C+video%2C+and+multimedia+processing"},"results":[{"id":"W2109079788","doi":"10.2200/s00601ed1v01y201410ivm017","title":"Combating Bad Weather Part II: Fog Removal from Image and Video","year":2015,"lang":"en","type":"article","venue":"Synthesis lectures on image, video, and multimedia processing","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Meteorology; Weather modification; Computer science; Environmental science; Aeronautics; Computer vision; Artificial intelligence; Geography; Engineering","score_opus":0.017933361138546607,"score_gpt":0.2671048665950275,"score_spread":0.24917150545648092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109079788","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1483793,0.007167072,0.8218881,0.0059618275,0.0008108226,0.0012244307,0.000037764752,0.0025734634,0.01195725],"genre_scores_gemma":[0.37949315,0.00011457796,0.6185569,0.0010960713,0.00035564936,0.00010635721,0.000006620526,0.000063396714,0.0002072625],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99713254,0.0002073982,0.00045743963,0.0010196758,0.0005818413,0.00060108834],"domain_scores_gemma":[0.9979083,0.00070465065,0.0002779732,0.0005747387,0.0002303651,0.0003039848],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00084860064,0.0004757456,0.0004900896,0.00022043516,0.0005438051,0.00085299084,0.0006175485,0.00016373784,0.00002861803],"category_scores_gemma":[0.0019282493,0.00040493914,0.00006846972,0.0002683456,0.00033764847,0.0014953336,0.00046594263,0.0003548922,0.00001951626],"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":[0.00007557482,0.00014579929,0.0002685995,0.000083537045,0.000046667967,0.00009022882,0.005215471,0.0000019349852,0.07661443,0.00005616517,0.00801027,0.90939134],"study_design_scores_gemma":[0.0015569417,0.00031954827,0.0014539745,0.0012983201,0.000118566546,0.00009719219,0.0003372109,0.072130926,0.89563334,0.0072128433,0.018427506,0.0014136058],"about_ca_topic_score_codex":0.00013389078,"about_ca_topic_score_gemma":0.00002274535,"teacher_disagreement_score":0.9079777,"about_ca_system_score_codex":0.00007380874,"about_ca_system_score_gemma":0.0001404287,"threshold_uncertainty_score":0.99984026},"labels":[],"label_agreement":null},{"id":"W4298113288","doi":"10.1007/978-3-031-02246-3_6","title":"Signals and Systems Theory for Still and Time-Varying Color Images","year":2010,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on image, video, and multimedia processing","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Fourier transform; Artificial intelligence; Computer vision; Invariant (physics); Color space; Computer science; LTI system theory; Mathematics; Color histogram; Color image; Image (mathematics); Linear system; Image processing; Mathematical analysis","score_opus":0.017742452761932707,"score_gpt":0.27185946158460217,"score_spread":0.25411700882266947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298113288","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00058386003,0.04629606,0.9083889,0.00081455306,0.0010126791,0.0028785202,0.00020760081,0.0006905164,0.03912732],"genre_scores_gemma":[0.047910094,0.0023510556,0.8639157,0.002170503,0.0022745798,0.0006044311,0.000041393894,0.0006227601,0.08010952],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968606,0.00022980438,0.00056618813,0.0013267684,0.0004294386,0.0005871955],"domain_scores_gemma":[0.9921882,0.0062077884,0.0004948539,0.00047814503,0.00033487432,0.00029609347],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0019963048,0.0008045439,0.001052448,0.00045552017,0.0006965823,0.0016409524,0.00051080826,0.0006570282,0.00002318755],"category_scores_gemma":[0.0017264747,0.00065731094,0.00013468527,0.000062408144,0.00065335043,0.0006628649,0.0002524098,0.0007560734,0.0000100142215],"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":[0.00034925342,0.000034812994,0.0000019951344,0.0015610453,0.00015581909,0.000067895126,0.0013660695,0.000010836074,0.15726765,0.0012445289,0.0005763319,0.8373638],"study_design_scores_gemma":[0.0069262697,0.0014928036,0.00017054818,0.0148616815,0.0024329673,0.0013129846,0.00017270117,0.20278147,0.5220254,0.15801927,0.081527404,0.008276472],"about_ca_topic_score_codex":0.000011781031,"about_ca_topic_score_gemma":0.0000014345084,"teacher_disagreement_score":0.8290873,"about_ca_system_score_codex":0.00003400818,"about_ca_system_score_gemma":0.00017305999,"threshold_uncertainty_score":0.99958783},"labels":[],"label_agreement":null},{"id":"W4298331229","doi":"10.1007/978-3-031-02246-3_7","title":"Concluding Remarks","year":2010,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on image, video, and multimedia processing","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Presentation (obstetrics); Computer science; Algebraic number; Work (physics); Artificial intelligence; Epistemology; Computer vision; Mathematics; Philosophy; Physics; Mathematical analysis; Medicine","score_opus":0.015340479038357002,"score_gpt":0.2593513051201866,"score_spread":0.2440108260818296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298331229","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012682669,0.003926915,0.6276013,0.0025959797,0.00064371346,0.0007979838,0.000030396659,0.0014513758,0.36293963],"genre_scores_gemma":[0.06704536,0.0044010514,0.7586644,0.004113728,0.0025048922,0.00036096707,0.000058208356,0.00058116304,0.16227022],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971413,0.000050299324,0.0005494502,0.0011655143,0.0006164254,0.00047701818],"domain_scores_gemma":[0.9972849,0.00080849486,0.0005481868,0.00078148826,0.00033339014,0.00024355589],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005166213,0.00068519224,0.00067953824,0.0004320435,0.0005853566,0.0007693838,0.0009591378,0.00074664975,0.00012999852],"category_scores_gemma":[0.00084982323,0.0005756335,0.00019360334,0.000101489495,0.00049001555,0.00055151805,0.00026255613,0.0012363277,0.000070510556],"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":[0.000025534975,0.000024920662,0.0000020521447,0.00023824873,0.000037054393,0.000032789256,0.00031393877,7.5285e-8,0.029780693,0.0028005543,0.0008371415,0.965907],"study_design_scores_gemma":[0.00047398737,0.00015032942,0.000114082046,0.0027041466,0.0002036794,0.00014907078,0.000021670132,0.007900989,0.6741374,0.03133389,0.28057483,0.0022358936],"about_ca_topic_score_codex":0.000008471413,"about_ca_topic_score_gemma":0.000006375046,"teacher_disagreement_score":0.9636711,"about_ca_system_score_codex":0.00007754156,"about_ca_system_score_gemma":0.0002513703,"threshold_uncertainty_score":0.9996695},"labels":[],"label_agreement":null},{"id":"W4301035368","doi":"10.1007/978-3-031-02245-6_5","title":"Segmentation with Graph Algorithms","year":2009,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on image, video, and multimedia processing","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Algorithm","score_opus":0.012746593313047744,"score_gpt":0.2613823546436144,"score_spread":0.24863576133056667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301035368","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008043896,0.0013960807,0.9499231,0.00076593575,0.00012658566,0.00074693654,0.000015540514,0.0007936522,0.04622413],"genre_scores_gemma":[0.0008530704,0.0009176743,0.9804997,0.0026426367,0.0003287131,0.00014807319,0.000042276773,0.00012134911,0.014446539],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968707,0.000068561305,0.0005153364,0.0011248307,0.0009747369,0.00044582295],"domain_scores_gemma":[0.9979429,0.00046503494,0.0005137009,0.00053248694,0.00024881528,0.00029702237],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034971573,0.0006946843,0.00060833717,0.0005767851,0.00034241905,0.000631385,0.0006356095,0.00034228864,0.00009887099],"category_scores_gemma":[0.00021056402,0.00054113375,0.000113475704,0.00013737776,0.00038842627,0.00080071593,0.00009352017,0.0005950953,0.00002946798],"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":[0.000030372903,0.000038230617,0.0000015391546,0.00014440167,0.00004639046,0.0000679996,0.0004537442,0.0000020930938,0.0021162701,0.000116846786,0.0014712394,0.9955109],"study_design_scores_gemma":[0.0030258154,0.0018602228,0.00041482336,0.009575236,0.0008430834,0.00044000353,0.00015580613,0.015146491,0.90761894,0.038833734,0.01658407,0.005501791],"about_ca_topic_score_codex":0.000013317561,"about_ca_topic_score_gemma":0.000008386022,"teacher_disagreement_score":0.99000907,"about_ca_system_score_codex":0.000098500896,"about_ca_system_score_gemma":0.00019819831,"threshold_uncertainty_score":0.999704},"labels":[],"label_agreement":null},{"id":"W4301506090","doi":"10.1007/978-3-031-02246-3_1","title":"Introduction","year":2010,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on image, video, and multimedia processing","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mathematical proof; Computer science; Perspective (graphical); NTSC; Representation (politics); Artificial intelligence; Computer vision; Property (philosophy); Computer graphics (images); Mathematics; Epistemology; Telecommunications","score_opus":0.007424214619356051,"score_gpt":0.24386231847229323,"score_spread":0.23643810385293718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301506090","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029610803,0.0009948955,0.013361923,0.010012214,0.0012052743,0.0015456872,0.00023483443,0.00041402152,0.96927005],"genre_scores_gemma":[0.59060514,0.00026362456,0.04708835,0.0009704338,0.028284248,0.00091368065,0.00033579,0.0004837482,0.331055],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99847716,0.000011457576,0.00027018395,0.00070039736,0.00025187802,0.00028890828],"domain_scores_gemma":[0.9989348,0.00020395314,0.00025025313,0.00034900816,0.000121469,0.00014051066],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015463299,0.00038668842,0.00034928677,0.00017462787,0.00051364175,0.0002473128,0.00022007359,0.00019510514,0.0016005087],"category_scores_gemma":[0.00006195151,0.00033071806,0.00011844373,0.000053396925,0.0003503481,0.00019318586,0.00005457454,0.000669601,0.00016786449],"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":[0.000020751913,0.000047323156,0.000023767154,0.000051217994,0.0000391454,0.0000011546715,0.00024872096,0.0000034763168,0.016606426,0.0029531263,0.0038777436,0.97612715],"study_design_scores_gemma":[0.0002984531,0.00005402554,0.0002472272,0.00031786124,0.00030366957,0.000007766656,0.00008969609,0.00076489005,0.0893376,0.033573307,0.8739042,0.0011012796],"about_ca_topic_score_codex":0.000025408208,"about_ca_topic_score_gemma":0.000013081937,"teacher_disagreement_score":0.9750259,"about_ca_system_score_codex":0.000021047108,"about_ca_system_score_gemma":0.0001244982,"threshold_uncertainty_score":0.99991447},"labels":[],"label_agreement":null},{"id":"W4302607777","doi":"10.1007/978-3-031-02246-3_4","title":"Subspaces and Decompositions of the Human Color Space","year":2010,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on image, video, and multimedia processing","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Linear subspace; Space (punctuation); Mathematics; Pure mathematics; Computer science","score_opus":0.020083026301942045,"score_gpt":0.3045110845164664,"score_spread":0.2844280582145244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302607777","genre_codex":"other","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":[0.11691434,0.0066496762,0.00090159726,0.004893947,0.0016514722,0.002554644,0.00032020526,0.00039876846,0.8657153],"genre_scores_gemma":[0.8985614,0.00027370366,0.0058755404,0.0008191763,0.0006082218,0.00016695326,0.000020406951,0.00019770216,0.09347687],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99834913,0.00009596476,0.0003729703,0.00061687466,0.0002713885,0.00029368995],"domain_scores_gemma":[0.99811155,0.00076821615,0.00041386258,0.0004262574,0.00013432089,0.00014582335],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024059732,0.00045734947,0.000556344,0.00025935305,0.0006225827,0.00012600338,0.00024212952,0.0005902982,0.001623016],"category_scores_gemma":[0.00018128508,0.000331762,0.0001563653,0.000051988165,0.0010582025,0.00007895689,0.000078960475,0.00077079714,0.000036868703],"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":[0.0009373476,0.0005939457,0.000966315,0.0013345628,0.0007260516,0.00006865218,0.021369021,0.00000414905,0.55540645,0.010302717,0.019163191,0.3891276],"study_design_scores_gemma":[0.008643275,0.001903166,0.20010768,0.01089121,0.005993499,0.0009806552,0.003633102,0.0007029314,0.24274713,0.040919416,0.47494036,0.0085375635],"about_ca_topic_score_codex":0.00006690444,"about_ca_topic_score_gemma":0.00037288104,"teacher_disagreement_score":0.7816471,"about_ca_system_score_codex":0.000027910173,"about_ca_system_score_gemma":0.00007716627,"threshold_uncertainty_score":0.99991345},"labels":[],"label_agreement":null}]}