{"id":"W2050024115","doi":"10.1109/icme.2012.42","title":"Perceived Picture Quality of Frame-Compatible 3DTV Video Formats","year":2012,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Frame (networking); High-definition television; Bandwidth (computing); Broadcasting (networking); Quality (philosophy); Video quality; High-definition video; Multimedia; Computer vision; Telecommunications; Computer network; Engineering","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":[0.0008539677,0.000139916,0.0002725574,0.00006723801,0.0000854982,0.00007419311,0.0006703244,0.00007743078,0.0002141306],"category_scores_gemma":[0.00005548153,0.0001094851,0.0001149769,0.0002271515,0.00004092973,0.001573874,0.0002556669,0.000146123,0.0001187352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003547725,"about_ca_system_score_gemma":0.00005057429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002420759,"about_ca_topic_score_gemma":0.00001474838,"domain_scores_codex":[0.9983493,0.0001850644,0.0004567741,0.0001900626,0.000422787,0.000395975],"domain_scores_gemma":[0.9986873,0.0001673991,0.000162629,0.0007244664,0.0001165025,0.0001417237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003628632,0.001587474,0.07351177,0.0005164326,0.0001436164,0.000002181001,0.04282136,0.00006111994,0.0541964,0.7752479,0.02126995,0.03060554],"study_design_scores_gemma":[0.00119412,0.0002057278,0.9015146,0.00005883848,0.00002006158,0.00001260768,0.002128695,0.008448776,0.06298989,0.01045966,0.01217386,0.0007931318],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2579302,0.00009521331,0.7237608,0.0008099112,0.000327265,0.0001561312,0.000003104984,0.0001441723,0.01677317],"genre_scores_gemma":[0.9262959,0.000005193722,0.07152124,0.001634499,0.00007144126,0.000007166938,0.000003125474,0.000005049721,0.0004564008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8280029,"threshold_uncertainty_score":0.4464673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05689430800192254,"score_gpt":0.3563097452701421,"score_spread":0.2994154372682196,"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."}}