{"id":"W2115368901","doi":"10.1109/icip.2005.1529826","title":"Balanced incomplete designs for 3D perceptual quality estimation","year":2005,"lang":"en","type":"article","venue":"","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Perception; Quality (philosophy); Reliability (semiconductor); Context (archaeology); Judgement; Block (permutation group theory); Estimation; Block design; Artificial intelligence; Data mining; Reliability engineering; Computer vision; Mathematics; Engineering; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001136896,0.00004873359,0.00006225588,0.0000131607,0.0001367512,0.00003717429,0.00008885073,0.000009767261,0.0007638488],"category_scores_gemma":[0.000003342805,0.00004269164,0.00003860013,0.00006992614,0.0000248997,0.0001696705,0.00001389336,0.0000236182,0.0001282608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001263688,"about_ca_system_score_gemma":0.0000237759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007788349,"about_ca_topic_score_gemma":0.00002024372,"domain_scores_codex":[0.9995753,0.000008238639,0.0001172188,0.0001248365,0.00005871023,0.0001157179],"domain_scores_gemma":[0.9997208,0.00006119086,0.00003277828,0.0001180561,0.00003203109,0.00003520414],"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":[0.000008027067,0.0001393702,0.00514108,0.000003350651,0.000009409701,5.61267e-9,0.0005107787,0.0025161,0.01176447,0.3857341,0.003677856,0.5904955],"study_design_scores_gemma":[0.001148521,0.00008708223,0.06059771,0.000006239015,0.0000230816,2.262348e-7,0.001644183,0.8269869,0.006403646,0.03139825,0.07123521,0.0004689608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1942955,7.483728e-7,0.7927151,0.0008112636,0.00001241832,0.0002020105,0.00001517817,0.00002765336,0.01192012],"genre_scores_gemma":[0.8517883,5.690204e-8,0.1471703,0.0001209129,0.0001247014,0.0001155969,0.00003087802,0.000002534437,0.000646701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8244708,"threshold_uncertainty_score":0.8363609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07028788082831351,"score_gpt":0.367332602544046,"score_spread":0.2970447217157325,"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."}}