{"id":"W3034495876","doi":"10.1049/iet-ipr.2019.1663","title":"video compression based on sphere‐rotated frame prediction","year":2020,"lang":"en","type":"article","venue":"IET Image Processing","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Natural Science Foundation of China","keywords":"Compression (physics); Computer science; Frame (networking); Data compression; Computer vision; Artificial intelligence; Materials science; Telecommunications; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007888659,0.0001231735,0.0001089538,0.00004179504,0.0002630939,0.000285257,0.0003918746,0.00006448642,0.00004162674],"category_scores_gemma":[0.00002814374,0.0001141596,0.0000451196,0.0004922926,0.00003744316,0.0005250039,0.00007759128,0.0002087031,0.00006686405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002683973,"about_ca_system_score_gemma":0.00005914898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004643493,"about_ca_topic_score_gemma":1.606189e-7,"domain_scores_codex":[0.9989863,0.00003077332,0.0001990409,0.0003950989,0.0002239005,0.000164859],"domain_scores_gemma":[0.9993975,0.00002445433,0.0001111104,0.0002557037,0.00009753151,0.00011368],"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":[0.00006585319,0.0002924718,0.000623333,0.0002148851,0.000008669717,0.00001594993,0.0007612336,0.001996067,0.3841938,0.001005153,0.01385514,0.5969674],"study_design_scores_gemma":[0.0001880917,0.0001146752,0.0004162717,0.00007170376,0.000003837932,0.000002452362,0.00001548566,0.8941987,0.09779578,0.0007312139,0.006338988,0.0001227868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001708879,0.00002984679,0.9907496,0.003267987,0.00003776537,0.0001954621,0.000004674806,0.001304036,0.002701735],"genre_scores_gemma":[0.7773092,0.000002128091,0.220275,0.002233086,0.00007926827,0.00005424908,0.000005603816,0.00001282279,0.00002864358],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8922027,"threshold_uncertainty_score":0.4655293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619540313550051,"score_gpt":0.2543440021751172,"score_spread":0.2381485990396166,"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."}}