{"id":"W2170200836","doi":"10.1109/icme.2011.6011880","title":"An error resilient technique for temporal and spatial scalability","year":2011,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Encoder; Scalability; Robustness (evolution); Real-time computing; Scalable Video Coding; Decoding methods; Motion compensation; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000696453,0.000569149,0.000380105,0.0006222985,0.0004184218,0.0003024709,0.0008853138,0.0005273203,0.001928028],"category_scores_gemma":[0.00220214,0.0001978044,0.0003774276,0.0005910385,0.000593436,0.001577935,0.001306082,0.001072832,0.0004317879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002501949,"about_ca_system_score_gemma":0.0003623762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004914899,"about_ca_topic_score_gemma":0.0005383044,"domain_scores_codex":[0.9995521,0.00005585459,0.0000368728,0.00007544855,0.0002449655,0.00003483358],"domain_scores_gemma":[0.9989805,0.0002478702,0.0001446,0.0004140058,0.0001800373,0.00003298311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003188153,0.0001223944,0.0005416248,0.0003027242,0.00008482635,0.0008177908,0.0004115306,0.04079773,0.5047055,0.04175262,0.004133547,0.4060109],"study_design_scores_gemma":[0.0000917227,0.0007054546,0.001171249,0.0001007221,0.0001674884,0.002332662,0.0001367036,0.5657052,0.3669021,0.02461987,0.0379412,0.0001256154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0283291,0.000991262,0.9663278,0.0003208813,0.0001483021,0.0001033273,0.00005270337,0.001483327,0.002243257],"genre_scores_gemma":[0.5420291,0.001208027,0.4488793,0.0004482824,0.0002461725,0.000156283,0.0001276863,0.000162062,0.006743004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001928028,"threshold_uncertainty_score":0.006449878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05258383351336485,"score_gpt":0.2897113972100329,"score_spread":0.237127563696668,"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."}}