{"meta":{"query_hash":"70a440ac07d8","filters":{"venue":"Advances in Multimedia"},"cohort_total":13,"direct_labels_cover":0,"predictions_cover":13,"exported":13,"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/70a440ac07d8","api":"https://metacan.xera.ac/api/v1/cohort?venue=Advances+in+Multimedia"},"results":[{"id":"W1981377771","doi":"10.1155/2007/56592","title":"A Cross-Layer Optimization Approach for Energy Efficient Wireless Sensor Networks: Coalition-Aided Data Aggregation, Cooperative Communication, and Energy Balancing","year":2007,"lang":"en","type":"article","venue":"Advances in Multimedia","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":15,"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 Waterloo","funders":"","keywords":"Wireless sensor network; Computer network; Computer science; Efficient energy use; Sink (geography); Energy consumption; Data aggregator; Cross-layer optimization; Data transmission; Node (physics); Key distribution in wireless sensor networks; Transmission (telecommunications); Distributed computing; Wireless; Wireless network; Engineering; Telecommunications","score_opus":0.028601166805770736,"score_gpt":0.31473655887386803,"score_spread":0.2861353920680973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981377771","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":[0.0006225037,0.008945036,0.989178,0.00015051622,0.00018343898,0.00022951652,0.000013959523,0.00009731167,0.0005797295],"genre_scores_gemma":[0.45855257,0.009236303,0.5308129,0.00039407567,0.000092885755,0.000099887584,0.00068718934,0.000018917723,0.00010525714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979307,0.00026923773,0.0005880638,0.00063209236,0.00021076507,0.00036914705],"domain_scores_gemma":[0.996409,0.0013124624,0.00025470904,0.0013901509,0.0005221599,0.00011152759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012766675,0.00022459035,0.0002691938,0.0001565275,0.0004899841,0.00022057214,0.0013157814,0.00010285368,0.000007035324],"category_scores_gemma":[0.00029240843,0.00022397748,0.000027004846,0.00075061264,0.00022392506,0.0012112185,0.00070446794,0.00016112818,3.560928e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003076479,0.00010083067,0.00088115624,0.00000984005,0.00001183964,8.4651725e-7,0.00062908255,0.85939515,0.000057291712,0.017514493,0.00007496594,0.12129374],"study_design_scores_gemma":[0.001023426,0.000023267296,0.00031328574,0.000070915965,0.000005275133,0.0000048405664,0.00013711004,0.9933463,0.00037131022,0.000048556325,0.0043906732,0.00026505062],"about_ca_topic_score_codex":0.000036182366,"about_ca_topic_score_gemma":0.00039787483,"teacher_disagreement_score":0.45836505,"about_ca_system_score_codex":0.000096032745,"about_ca_system_score_gemma":0.000061501116,"threshold_uncertainty_score":0.9133536},"labels":[],"label_agreement":null},{"id":"W1984167999","doi":"10.1155/2007/74591","title":"Location-Aware Cross-Layer Design Using Overlay Watermarks","year":2007,"lang":"en","type":"article","venue":"Advances in Multimedia","topic":"Cooperative Communication and Network Coding","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":"Simon Fraser University; Communications Research Centre Canada","funders":"","keywords":"Computer science; Overlay; Orthogonal frequency-division multiplexing; Computer network; Physical layer; Wireless; Transceiver; Channel (broadcasting); Bandwidth (computing); Multiplexing; Real-time computing; Telecommunications","score_opus":0.05462846532415036,"score_gpt":0.37066712669260443,"score_spread":0.31603866136845404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984167999","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067736274,0.0039658356,0.9877221,0.00007661687,0.00051644933,0.00018165418,3.0769692e-7,0.00008242183,0.0006809845],"genre_scores_gemma":[0.7846582,0.0007961744,0.21415319,0.00021807928,0.000066712164,0.000008049171,0.000002453333,0.000008246245,0.00008890788],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874514,0.00011158532,0.00032252027,0.00029963776,0.00018946755,0.00033162013],"domain_scores_gemma":[0.9985918,0.00049433275,0.00009178983,0.0005633981,0.00017988101,0.000078835146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084059226,0.00013585822,0.00013485183,0.00013170372,0.00016541885,0.00009922139,0.00082910666,0.000059171438,0.000027489708],"category_scores_gemma":[0.00012055466,0.00012781558,0.000026270618,0.00063210493,0.00009021614,0.0013668509,0.00023895282,0.00019376012,0.000036286612],"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":[0.000043731685,0.00015483408,0.035101555,0.000028871793,0.00001178252,0.00004188698,0.003872189,0.12095832,0.0056491653,0.0028937499,0.000095641924,0.83114827],"study_design_scores_gemma":[0.00052461884,0.000019570945,0.015026978,0.00008703086,0.0000015733451,0.000006829307,0.00003062545,0.97080976,0.008295084,0.00045935292,0.004486812,0.00025175023],"about_ca_topic_score_codex":0.0000057809434,"about_ca_topic_score_gemma":0.00007371391,"teacher_disagreement_score":0.8498514,"about_ca_system_score_codex":0.00011615357,"about_ca_system_score_gemma":0.00005817007,"threshold_uncertainty_score":0.5212168},"labels":[],"label_agreement":null},{"id":"W2000272237","doi":"10.1155/2007/19860","title":"Cross-Layer Path Configuration for Energy-Efficient Communication over Wireless Ad Hoc Networks","year":2007,"lang":"en","type":"article","venue":"Advances in Multimedia","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Retransmission; Computer science; Computer network; Network packet; Wireless ad hoc network; Node (physics); Wireless; Hop (telecommunications); Schedule; Energy consumption; Path (computing); Mobile ad hoc network; Telecommunications; Engineering; Electrical engineering","score_opus":0.01031755166319956,"score_gpt":0.29678229168971404,"score_spread":0.28646474002651445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000272237","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018194582,0.010992361,0.9684344,0.00005197442,0.0009983899,0.0004555786,0.0000034287882,0.00012669561,0.00074260536],"genre_scores_gemma":[0.9197886,0.0023120719,0.0770087,0.00033149298,0.00016948271,0.0001837739,0.00005880089,0.000022559716,0.00012449872],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980354,0.00008184148,0.0005362352,0.0004996652,0.00029670203,0.0005501874],"domain_scores_gemma":[0.9974756,0.0010771286,0.00026837434,0.00089689007,0.00017037983,0.00011159081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009578574,0.00021238578,0.00023045154,0.00010094798,0.00016766715,0.00012042067,0.0009842725,0.00016808107,0.00001765126],"category_scores_gemma":[0.000065768385,0.0002117401,0.00007032293,0.00046013697,0.00014508476,0.0008325583,0.00018271121,0.0002308967,0.000007137277],"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":[0.00006095146,0.000119052536,0.0014529057,0.000010445594,0.000004977836,0.000005060331,0.0004561365,0.18129183,0.00016513217,0.011605291,0.00014208438,0.8046861],"study_design_scores_gemma":[0.0010353336,0.000056706936,0.006678273,0.000058514983,0.0000031157704,0.000001948742,0.000023364524,0.9561708,0.00084029324,0.00065599877,0.034223128,0.00025250332],"about_ca_topic_score_codex":0.000014319748,"about_ca_topic_score_gemma":0.00037217565,"teacher_disagreement_score":0.90159404,"about_ca_system_score_codex":0.00014161202,"about_ca_system_score_gemma":0.000037129485,"threshold_uncertainty_score":0.86345106},"labels":[],"label_agreement":null},{"id":"W2021661072","doi":"10.1155/2009/905890","title":"In-Network Adaptation of Video Streams Using Network Processors","year":2009,"lang":"en","type":"article","venue":"Advances in Multimedia","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Computer science; Transcoding; Multicast; Computer network; Video quality; Enhanced Data Rates for GSM Evolution; Adaptation (eye); Communication source; Bandwidth (computing); Wireless network; Real-time computing; Wireless; Telecommunications","score_opus":0.010832698827365166,"score_gpt":0.26675765167184595,"score_spread":0.2559249528444808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021661072","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08169609,0.015532986,0.8992601,0.00041883026,0.0014974192,0.0005492989,0.000001139827,0.00012515242,0.000918987],"genre_scores_gemma":[0.8436352,0.00037279743,0.1554801,0.0001770421,0.00030021116,0.000010693541,0.0000017188058,0.000005213434,0.00001701383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985708,0.00007890371,0.00041846352,0.00031908898,0.0002219452,0.00039080856],"domain_scores_gemma":[0.9991887,0.0002588029,0.00019615909,0.00023696243,0.00006416055,0.000055201235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003385067,0.00014209836,0.00025611417,0.000082513696,0.00003972397,0.000019831523,0.00041809425,0.000069893584,0.0000059729628],"category_scores_gemma":[0.000057728983,0.00014095743,0.0000358302,0.0009671031,0.000045972472,0.0010508227,0.000031588097,0.0001611424,0.0000042860565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014997816,0.000029880659,0.0022426539,0.0000036295169,0.0000013879865,0.0000065943946,0.00024376616,0.5523905,0.000005069523,0.0015704895,0.000021006761,0.44347],"study_design_scores_gemma":[0.0007119637,0.000066127526,0.0025118797,0.00015391609,0.0000034907148,0.0000022337674,0.000037107966,0.98854196,0.00001802125,0.0067004445,0.0011063891,0.00014643901],"about_ca_topic_score_codex":0.000018469605,"about_ca_topic_score_gemma":0.00024533906,"teacher_disagreement_score":0.7619391,"about_ca_system_score_codex":0.000044224416,"about_ca_system_score_gemma":0.00006898996,"threshold_uncertainty_score":0.57480776},"labels":[],"label_agreement":null},{"id":"W2032302509","doi":"10.1155/2008/825671","title":"An Effective Multimedia Item Shell Design for Individualized Education: The Crome Project","year":2008,"lang":"en","type":"article","venue":"Advances in Multimedia","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Multimedia; Curriculum; Process (computing); Selection (genetic algorithm); Multiple choice; Computerized adaptive testing; Shell (structure); Item response theory; Representation (politics); Adaptation (eye); Human–computer interaction; Artificial intelligence","score_opus":0.031863381300692474,"score_gpt":0.3326963638545712,"score_spread":0.3008329825538787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032302509","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":[0.02059731,0.0035652146,0.96747667,0.00012355529,0.0031562902,0.004076022,0.0000075168086,0.00024843818,0.0007490029],"genre_scores_gemma":[0.3703891,0.00026293154,0.62430656,0.00023069166,0.0008499801,0.0022272428,0.000017971779,0.000041385716,0.0016741346],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978774,0.00044619144,0.0003592075,0.0005699273,0.00031789916,0.00042934052],"domain_scores_gemma":[0.99668074,0.0023334145,0.00020279805,0.00052094774,0.00018495241,0.00007715077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009142727,0.00024108334,0.0002784135,0.0001877632,0.00033506352,0.000086575026,0.0010184774,0.0000871579,0.000005729182],"category_scores_gemma":[0.00058484694,0.00017499579,0.00008181915,0.00046990477,0.00012740746,0.0012579598,0.000074575364,0.0002646901,0.00003701716],"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":[0.00013822792,0.0007002433,0.016646245,0.000115157294,0.000056399087,0.000033143813,0.055485792,0.010469962,0.0016770664,0.009501919,0.00075919105,0.9044167],"study_design_scores_gemma":[0.0030487003,0.0011568057,0.033011753,0.00043499062,0.000024100178,0.00011300812,0.001981643,0.537424,0.013992318,0.0018905471,0.40567008,0.0012520663],"about_ca_topic_score_codex":0.00008899473,"about_ca_topic_score_gemma":0.000015965195,"teacher_disagreement_score":0.90316457,"about_ca_system_score_codex":0.00010882633,"about_ca_system_score_gemma":0.00024040737,"threshold_uncertainty_score":0.71361214},"labels":[],"label_agreement":null},{"id":"W2040102758","doi":"10.1155/2012/639649","title":"Adaptive Transformation for Robust Privacy Protection in Video Surveillance","year":2012,"lang":"en","type":"article","venue":"Advances in Multimedia","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Obfuscation; Computer science; Computer security; Privacy protection; Information privacy; Internet privacy; Privacy software","score_opus":0.026552796611853946,"score_gpt":0.2787757276991535,"score_spread":0.25222293108729954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040102758","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005352717,0.00097017735,0.9917244,0.00012243097,0.00037331745,0.0009635011,0.000004336534,0.00018618656,0.00030298595],"genre_scores_gemma":[0.6264749,0.0002142445,0.37283063,0.000024511279,0.000045769793,0.0003957619,0.0000043857017,0.000006382356,0.0000033798592],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884176,0.00007826622,0.0002989634,0.00024135498,0.00013753209,0.00040214034],"domain_scores_gemma":[0.99941146,0.0001610742,0.0001028624,0.00023276563,0.00004370735,0.000048152702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005606645,0.00014248701,0.00017111254,0.00024530952,0.000057121157,0.000020321935,0.0003553199,0.000076588236,8.963334e-7],"category_scores_gemma":[0.00008207588,0.00013485222,0.000048274793,0.000520974,0.000043956334,0.0037562377,0.000038321446,0.0001631477,0.0000023505265],"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":[0.00014114869,0.0001840444,0.020430608,0.00008153868,0.000004596389,0.0000015486098,0.006678904,0.0043645184,0.0005446,0.005112954,0.000011378316,0.9624442],"study_design_scores_gemma":[0.0033212446,0.00042383038,0.074166276,0.0003531337,0.0000040142518,0.000015225429,0.00023562316,0.8168558,0.027531836,0.0444347,0.03157895,0.0010793916],"about_ca_topic_score_codex":0.000015584425,"about_ca_topic_score_gemma":0.0000798603,"teacher_disagreement_score":0.96136475,"about_ca_system_score_codex":0.000078228826,"about_ca_system_score_gemma":0.000012713584,"threshold_uncertainty_score":0.5499114},"labels":[],"label_agreement":null},{"id":"W2059573488","doi":"10.1155/2008/841590","title":"Providing QoS for Networked Peers in Distributed Haptic Virtual Environments","year":2008,"lang":"en","type":"article","venue":"Advances in Multimedia","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Queen's University Belfast","keywords":"Haptic technology; Computer science; Quality of service; Jitter; Peer-to-peer; Synchronization (alternating current); Human–computer interaction; Computer network; Multimedia; Simulation","score_opus":0.013410780987802542,"score_gpt":0.24330265157054376,"score_spread":0.22989187058274121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059573488","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027039934,0.0009320386,0.96895164,0.00015525863,0.0011616217,0.0014753845,0.000009555722,0.000090020185,0.00018457406],"genre_scores_gemma":[0.9128648,0.0010218201,0.08461579,0.00023709642,0.00019747861,0.00076090026,0.00006713278,0.000024246232,0.00021075613],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979482,0.00008216192,0.00041507932,0.00061508483,0.0003275823,0.0006118839],"domain_scores_gemma":[0.9989104,0.00037341335,0.00013486695,0.00047211762,0.000010467569,0.00009870863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035423096,0.00021666655,0.00024801824,0.00015130146,0.000092356415,0.000026440777,0.000800827,0.000060327096,0.000008669669],"category_scores_gemma":[0.00008416633,0.00022483454,0.000057372064,0.0004836928,0.00010397824,0.000840229,0.00024754243,0.00016494039,0.000029794663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008294983,0.0002832988,0.03013053,0.000033455686,0.000018886083,0.00016348819,0.0008398156,0.62919223,0.00019920777,0.0011477405,0.0012583378,0.33665004],"study_design_scores_gemma":[0.0018931265,0.00011466945,0.0037380843,0.000055123583,0.000004174344,0.000002807358,0.0000529159,0.92422044,0.00022624347,0.00024264926,0.0691561,0.00029365797],"about_ca_topic_score_codex":0.0000125827355,"about_ca_topic_score_gemma":0.00008408424,"teacher_disagreement_score":0.88582486,"about_ca_system_score_codex":0.00033224275,"about_ca_system_score_gemma":0.000036334466,"threshold_uncertainty_score":0.91684866},"labels":[],"label_agreement":null},{"id":"W2085529769","doi":"10.1155/2012/256130","title":"Objective No-Reference Stereoscopic Image Quality Prediction Based on 2D Image Features and Relative Disparity","year":2012,"lang":"en","type":"article","venue":"Advances in Multimedia","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":30,"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 Manitoba","funders":"","keywords":"Artificial intelligence; Stereoscopy; Computer vision; Computer science; Feature (linguistics); Distortion (music); Metric (unit); Image quality; JPEG; Enhanced Data Rates for GSM Evolution; Image (mathematics); Stereopsis; Human visual system model; Pattern recognition (psychology); Engineering","score_opus":0.02116083869289894,"score_gpt":0.35286109945096916,"score_spread":0.33170026075807024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085529769","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045266416,0.0021090559,0.9214505,0.00067246,0.001950223,0.0010861332,0.00012791669,0.000309912,0.027027389],"genre_scores_gemma":[0.8028332,0.00018918487,0.19629464,0.00036170526,0.00012005063,0.0000705243,0.000024306426,0.00000974743,0.00009663422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977532,0.0005185199,0.00034820376,0.00051799876,0.00040975498,0.00045234646],"domain_scores_gemma":[0.99786866,0.0011608354,0.00018309234,0.00050753093,0.00012945721,0.00015045307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008381267,0.00023999852,0.00028039576,0.0001201234,0.0001273753,0.00010247684,0.0003476907,0.000101052596,0.00001487319],"category_scores_gemma":[0.00067408424,0.00020987474,0.000041420542,0.00025961667,0.00020325792,0.004614168,0.00016758162,0.0004734532,0.000061806866],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071134965,0.0036142124,0.49538848,0.0007663699,0.00009775868,0.000053608528,0.024275398,0.00024877506,0.009354367,0.03321273,0.0011666687,0.4311103],"study_design_scores_gemma":[0.0014829624,0.0002528673,0.95858747,0.00015588595,0.000011541072,0.0000024152266,0.00025315466,0.030309685,0.005261635,0.0021017492,0.0011900249,0.00039061674],"about_ca_topic_score_codex":0.0001397436,"about_ca_topic_score_gemma":0.00011502121,"teacher_disagreement_score":0.7575668,"about_ca_system_score_codex":0.00014683763,"about_ca_system_score_gemma":0.00005503174,"threshold_uncertainty_score":0.8558443},"labels":[],"label_agreement":null},{"id":"W2088355341","doi":"10.1155/2012/302893","title":"Division-Free Multiquantization Scheme for Modern Video Codecs","year":2012,"lang":"en","type":"article","venue":"Advances in Multimedia","topic":"Video Coding and Compression Technologies","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 Saskatchewan","funders":"","keywords":"Codec; Computer science; Encoder; Field-programmable gate array; Quantization (signal processing); JPEG; Decoding methods; Computer hardware; Computer architecture; Algorithm; Data compression","score_opus":0.021520898664218926,"score_gpt":0.30826196803876793,"score_spread":0.286741069374549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088355341","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010619987,0.006263786,0.9808055,0.0003760475,0.00090978935,0.000283149,0.000005891478,0.0005045334,0.00023127992],"genre_scores_gemma":[0.57231164,0.00034591844,0.42706576,0.00007118981,0.000045925404,0.00010233215,0.000004070969,0.000008946314,0.000044248514],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986646,0.000033676464,0.00027468524,0.00033756322,0.0002455528,0.0004438946],"domain_scores_gemma":[0.998431,0.0005198096,0.00011863629,0.00077867525,0.000076187855,0.00007568955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032943417,0.00015784791,0.00018859825,0.00016543899,0.000108089844,0.000046738158,0.0012951995,0.00010901143,0.0000035522894],"category_scores_gemma":[0.0011549736,0.00013751576,0.000052635965,0.0003250308,0.00006256771,0.0017903172,0.0004913448,0.00014449473,0.000019991512],"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":[0.0000132031855,0.00016809667,0.022669427,0.00003537288,0.000005150875,0.0000011411946,0.0008383143,0.0014283125,0.0026671386,0.013118851,0.0007843342,0.95827067],"study_design_scores_gemma":[0.0010482885,0.00004552646,0.003134795,0.00009299326,0.0000022226222,0.0000015806783,0.00005519172,0.932105,0.015749635,0.03295674,0.014528247,0.00027977838],"about_ca_topic_score_codex":0.00000392831,"about_ca_topic_score_gemma":0.000008560349,"teacher_disagreement_score":0.9579909,"about_ca_system_score_codex":0.00003640279,"about_ca_system_score_gemma":0.000017568302,"threshold_uncertainty_score":0.560773},"labels":[],"label_agreement":null},{"id":"W2176481656","doi":"10.1155/2007/95218","title":"Packet-Loss Modeling for Perceptually Optimized 3D Transmission","year":2007,"lang":"en","type":"article","venue":"Advances in Multimedia","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Packet loss; Network packet; Computer network; Transmission delay; Transmission (telecommunications); Real-time computing; Wireless ad hoc network; Processing delay; Metric (unit); Wireless; Telecommunications; Engineering","score_opus":0.021430023624374933,"score_gpt":0.30696916228682675,"score_spread":0.28553913866245184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176481656","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":[0.0075140093,0.0029450369,0.9875465,0.00042303023,0.00038885162,0.00025596624,0.0000013065697,0.0004864962,0.00043881978],"genre_scores_gemma":[0.3364365,0.0010455867,0.66232175,0.00006971261,0.000037068712,0.000035881138,0.000002131091,0.000009155988,0.000042169344],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848455,0.000024451441,0.00036271286,0.00044941914,0.00023207269,0.00044677357],"domain_scores_gemma":[0.9989456,0.0004128187,0.000071117065,0.0004088353,0.00008237248,0.00007925265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005567736,0.00017609965,0.00023510883,0.00020207414,0.00011582372,0.00004207093,0.00095976907,0.00012715647,0.0000080449745],"category_scores_gemma":[0.000198033,0.0001426404,0.000076986325,0.00029896497,0.0000656809,0.000711664,0.00012409032,0.00020132105,0.0000082595925],"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":[0.000056753026,0.000047584326,0.000088851004,0.000019072588,0.0000024721062,0.000009869455,0.0008369441,0.032086212,0.0009884323,0.00074534275,0.000029006771,0.96508944],"study_design_scores_gemma":[0.0011953866,0.000063081265,0.000040676976,0.00011355358,0.0000024725323,0.0000038198154,0.00021447233,0.9791179,0.0044042557,0.009863229,0.004758877,0.00022231847],"about_ca_topic_score_codex":0.000005253523,"about_ca_topic_score_gemma":0.0000066325165,"teacher_disagreement_score":0.9648671,"about_ca_system_score_codex":0.000040493218,"about_ca_system_score_gemma":0.000031566266,"threshold_uncertainty_score":0.5816707},"labels":[],"label_agreement":null},{"id":"W2767120470","doi":"10.1155/2017/2162078","title":"Hand Motion and Posture Recognition in a Network of Calibrated Cameras","year":2017,"lang":"en","type":"article","venue":"Advances in Multimedia","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Artificial intelligence; Computer vision; Gesture recognition; Computer science; Trajectory; Gesture; Motion (physics); Feature (linguistics); Tracking (education); Kalman filter; Pattern recognition (psychology)","score_opus":0.015091563268653917,"score_gpt":0.2747001742552807,"score_spread":0.2596086109866268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767120470","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":[0.8698884,0.008214462,0.11379883,0.0008059923,0.0023584529,0.0010425386,0.000027621942,0.00008499488,0.0037786602],"genre_scores_gemma":[0.98178446,0.0003938454,0.017645052,0.000039610964,0.00008836934,0.000022863023,0.000008984842,0.000005224108,0.000011565608],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99906975,0.00009826393,0.00026349365,0.0002610675,0.00012859727,0.00017881262],"domain_scores_gemma":[0.9992349,0.00014277291,0.0002210531,0.00027913906,0.00007515811,0.000046977417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031640686,0.00009846221,0.00020398892,0.000074461626,0.00008031882,0.0000871588,0.00026286423,0.00008523648,0.0000041711496],"category_scores_gemma":[0.00021786451,0.00009020233,0.00001681628,0.00017197605,0.0001104639,0.0012471043,0.0000800442,0.00012907156,0.000007931167],"study_design_candidate":"observational","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":[0.00002047661,0.00004531067,0.116605006,0.00004556378,0.0000043279583,0.000026974636,0.0011778694,0.00019106193,0.0007212039,0.0000687912,0.000016497786,0.88107693],"study_design_scores_gemma":[0.004660188,0.00017446633,0.8082632,0.0011657759,0.000009683337,0.000060665734,0.00017894838,0.15978745,0.0068820966,0.01606087,0.0021619163,0.00059475994],"about_ca_topic_score_codex":0.00015149152,"about_ca_topic_score_gemma":0.0010803214,"teacher_disagreement_score":0.88048214,"about_ca_system_score_codex":0.000018014744,"about_ca_system_score_gemma":0.000016671756,"threshold_uncertainty_score":0.36783445},"labels":[],"label_agreement":null},{"id":"W2767557801","doi":"10.1155/2017/8961091","title":"Deep Binary Representation for Efficient Image Retrieval","year":2017,"lang":"en","type":"article","venue":"Advances in Multimedia","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; Canadian Institute for Advanced Research","keywords":"Hash function; Computer science; Image retrieval; Binary code; Hamming distance; Artificial intelligence; Hamming space; Pattern recognition (psychology); Hash table; Code (set theory); Similarity (geometry); Binary number; Image (mathematics); Hamming code; Algorithm; Mathematics; Decoding methods; Block code","score_opus":0.02130277691899596,"score_gpt":0.36646026189335695,"score_spread":0.345157484974361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767557801","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":[0.0031647852,0.0014008381,0.9925712,0.00031074468,0.0006362856,0.0005925521,0.000004028824,0.00019115096,0.0011284215],"genre_scores_gemma":[0.17870143,0.0008505633,0.8200214,0.00008203347,0.00013466542,0.00006684705,0.0000084084995,0.000017183798,0.00011747363],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985232,0.000035229834,0.00029528,0.00054165296,0.0002499912,0.00035468995],"domain_scores_gemma":[0.9980614,0.00035162634,0.00026594131,0.0010967914,0.00014854273,0.00007568123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035538324,0.00016039143,0.00021371404,0.00012670807,0.0003031871,0.0001812264,0.001263594,0.000067151625,0.00000541307],"category_scores_gemma":[0.0017391469,0.0001521573,0.00007939409,0.00018935102,0.00018513731,0.0024673573,0.00032564567,0.00014608794,0.000020343408],"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":[0.00028331653,0.00025093416,0.002944439,0.00008103261,0.000010067831,0.00010232855,0.0009151079,0.0012816534,0.035365388,0.0038365235,0.00019064933,0.95473856],"study_design_scores_gemma":[0.0017849144,0.0002519,0.010025245,0.00009053662,0.000007025357,0.00000807868,0.00006272996,0.6599757,0.29722226,0.021295574,0.008809138,0.0004668929],"about_ca_topic_score_codex":0.0000076186484,"about_ca_topic_score_gemma":0.0000073605243,"teacher_disagreement_score":0.9542717,"about_ca_system_score_codex":0.000065577624,"about_ca_system_score_gemma":0.000027965254,"threshold_uncertainty_score":0.62047946},"labels":[],"label_agreement":null},{"id":"W3012437467","doi":"10.1155/2020/3197623","title":"A Novel Multisupervised Coupled Metric Learning for Low-Resolution Face Matching","year":2020,"lang":"en","type":"article","venue":"Advances in Multimedia","topic":"Face recognition and analysis","field":"Computer Science","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 British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China; Shandong University of Technology; Shandong University of Science and Technology; Shandong University","keywords":"Metric (unit); Matching (statistics); Face (sociological concept); Artificial intelligence; Pattern recognition (psychology); Computer science; Function (biology); Feature (linguistics); Machine learning; Feature vector; Mathematics; Statistics","score_opus":0.021124912740641478,"score_gpt":0.2808707975258527,"score_spread":0.2597458847852112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012437467","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008678043,0.00113175,0.988761,0.0007860451,0.0001586404,0.00026099832,0.0000045944,0.0001649549,0.000053991793],"genre_scores_gemma":[0.6561151,0.00029505027,0.34299025,0.00042479087,0.000058827784,0.000052523454,0.00002109022,0.000011124877,0.000031221185],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987127,0.000042719406,0.00028231437,0.0004333461,0.00023073435,0.00029819435],"domain_scores_gemma":[0.99909973,0.00045565728,0.00010755906,0.00013207378,0.00007731695,0.00012766941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021574166,0.00014586722,0.00024984384,0.00019374085,0.00010513494,0.000069483496,0.00041514912,0.000055637298,0.00001702806],"category_scores_gemma":[0.0006721416,0.00014482699,0.00010294011,0.0011271137,0.000027580456,0.0009032755,0.00009861343,0.00020125318,0.00006455808],"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":[0.000054533604,0.0002206352,0.0014385604,0.00018700407,0.000044427055,0.000010618032,0.006163761,0.44010276,0.039754156,0.00033580748,0.000029125113,0.5116586],"study_design_scores_gemma":[0.0014834877,0.000041916737,0.0002747797,0.000036098772,0.000007929468,9.2681523e-7,0.000319549,0.9951122,0.0011435426,0.00008078059,0.0013116469,0.00018716871],"about_ca_topic_score_codex":0.00002970173,"about_ca_topic_score_gemma":0.000029616685,"teacher_disagreement_score":0.6474371,"about_ca_system_score_codex":0.00004323255,"about_ca_system_score_gemma":0.000027339382,"threshold_uncertainty_score":0.5905873},"labels":[],"label_agreement":null}]}