{"id":"W3139413627","doi":"10.48550/arxiv.2103.13477","title":"A Survey of Multimedia Technologies and Robust Algorithms","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Multimedia; Robotics; Point (geometry); Image processing; Artificial intelligence; Image (mathematics); Robot","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002953495,0.0002377891,0.000405991,0.000241561,0.00005805213,0.00007426833,0.001262937,0.0003216808,0.00000375025],"category_scores_gemma":[0.0003086983,0.0002623425,0.00008835578,0.0008165289,0.0002572558,0.0004203377,0.003775271,0.0004765953,0.000001701171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005602918,"about_ca_system_score_gemma":0.0001372993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004352805,"about_ca_topic_score_gemma":0.00008836925,"domain_scores_codex":[0.9985086,0.0001155314,0.0001894524,0.0008810457,0.00007797714,0.0002273634],"domain_scores_gemma":[0.9980511,0.0002112949,0.0002407768,0.001064115,0.0003737625,0.00005894224],"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":[0.0001333933,0.0009274615,0.09384026,0.001235192,0.000771001,0.003680618,0.001438988,0.03943902,0.001665045,0.03081136,0.0007620433,0.8252956],"study_design_scores_gemma":[0.0006695378,0.0001878096,0.03753984,0.0004179706,0.00006826768,0.00001629498,0.0004762772,0.9040696,0.03519901,0.02016734,0.0001080372,0.001079983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0505018,0.0009373918,0.9475389,0.00002679164,0.0001268018,0.000183759,0.00002313657,0.000536987,0.0001244715],"genre_scores_gemma":[0.8937551,0.002403765,0.1036505,0.00001178034,0.000006556954,6.921145e-7,0.0000167945,0.00001070791,0.00014407],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8646306,"threshold_uncertainty_score":0.9999829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.106657998595628,"score_gpt":0.2217025431126955,"score_spread":0.1150445445170675,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}