{"meta":{"query_hash":"e3ff0a97adc7","filters":{"venue":"International Journal of Multimedia and Ubiquitous Engineering"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/e3ff0a97adc7","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Multimedia+and+Ubiquitous+Engineering"},"results":[{"id":"W2103953844","doi":"10.14257/ijmue.2014.9.11.38","title":"Developing a Collaborative MOOC Learning Environment utilizing Video Sharing with Discussion Summarization as Added-Value","year":2014,"lang":"en","type":"article","venue":"International Journal of Multimedia and Ubiquitous Engineering","topic":"Online Learning and Analytics","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":"Lakehead University","funders":"","keywords":"Automatic summarization; Computer science; Multimedia; Value (mathematics); Artificial intelligence; Machine learning","score_opus":0.005302804215798048,"score_gpt":0.2340791194762873,"score_spread":0.22877631526048925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103953844","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":[0.0853385,0.000086457374,0.9115923,0.002413422,0.00039257458,0.000049687525,5.666269e-7,0.000051111027,0.000075362055],"genre_scores_gemma":[0.86461014,0.0001326424,0.13480821,0.0000472393,0.00030113413,0.0000016753074,0.000003306415,0.000014967471,0.00008066972],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881065,0.00003752549,0.0003153758,0.00019431578,0.00047698172,0.00016514373],"domain_scores_gemma":[0.99922615,0.00014798294,0.00025630475,0.00008585338,0.0001787924,0.0001049089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003848339,0.00014562417,0.00018465945,0.00024001273,0.0000774355,0.00019907477,0.0004018139,0.00004937983,0.0000031869088],"category_scores_gemma":[0.00027322076,0.00009342008,0.00003779447,0.00013247521,0.000019406609,0.0004525337,0.00016735058,0.00030767082,0.0000032622338],"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":[0.000053029857,0.000040838575,0.006983655,0.00003256096,0.00023682023,0.00010281076,0.0038388208,0.8380721,0.008343858,0.012752099,0.000010805347,0.12953259],"study_design_scores_gemma":[0.0006107714,0.00016693525,0.0015343032,0.0004057931,0.000016214923,0.0001238652,0.00020798777,0.9906048,0.0017962395,0.00028735315,0.0040722457,0.00017347508],"about_ca_topic_score_codex":0.000007811492,"about_ca_topic_score_gemma":9.858378e-7,"teacher_disagreement_score":0.77927166,"about_ca_system_score_codex":0.00012436986,"about_ca_system_score_gemma":0.00008233274,"threshold_uncertainty_score":0.38095602},"labels":[],"label_agreement":null},{"id":"W3041769859","doi":"10.21742/ijmue.2020.15.1.04","title":"EOLO: Deep Machine Learning Algorithm for Embedded Object Segmentation that Only Looks Once","year":2020,"lang":"en","type":"article","venue":"International Journal of Multimedia and Ubiquitous Engineering","topic":"Advanced Neural Network Applications","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":"Lakehead University","funders":"","keywords":"Segmentation; Computer science; Artificial intelligence; Task (project management); Embedding; Object (grammar); Function (biology); Pattern recognition (psychology); Machine learning; Computer vision; Algorithm","score_opus":0.014481302704433315,"score_gpt":0.25854472027362324,"score_spread":0.24406341756918992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041769859","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":[0.0052330187,0.00037310598,0.9922593,0.001415921,0.0005121865,0.0001244855,0.0000053436656,0.000062429695,0.000014186809],"genre_scores_gemma":[0.3928866,0.0001767367,0.6061261,0.00035486693,0.0004047896,0.000009664017,0.000008959213,0.000014814206,0.00001740834],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991167,0.000018136216,0.00026690436,0.00016377753,0.00029581587,0.00013863345],"domain_scores_gemma":[0.99910253,0.00032271232,0.00021561119,0.000059316997,0.00017473073,0.00012512405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013747609,0.000119538,0.00014724069,0.000093571456,0.00004243251,0.00009017665,0.0004293794,0.000034270015,0.0000028494562],"category_scores_gemma":[0.000116026706,0.000114584545,0.00006844266,0.000084383726,0.000012722176,0.00047026857,0.00009867731,0.000237999,0.0000015200937],"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":[0.00002941069,0.000029803221,0.00027447226,0.000014439178,0.00011994374,0.000047340727,0.002674052,0.1407703,0.020302631,0.0005792659,0.000055646215,0.8351027],"study_design_scores_gemma":[0.0007383121,0.00010903286,0.00018582153,0.00002840788,0.0000097566535,0.00015822312,0.000038202154,0.98930717,0.0076556923,0.00012528071,0.0015327261,0.00011136191],"about_ca_topic_score_codex":0.000002091019,"about_ca_topic_score_gemma":0.0000011430437,"teacher_disagreement_score":0.8485369,"about_ca_system_score_codex":0.00004445264,"about_ca_system_score_gemma":0.000033161363,"threshold_uncertainty_score":0.4672622},"labels":[],"label_agreement":null}]}