{"id":"W2162831671","doi":"10.1109/tip.2011.2181522","title":"Quaternion Structural Similarity: A New Quality Index for Color Images","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Image Processing","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Jet Propulsion Laboratory; Ben-Gurion University of the Negev","keywords":"Image quality; Artificial intelligence; Computer vision; Computer science; Image processing; Quaternion; Quality Score; Image restoration; Quality (philosophy); Pattern recognition (psychology); Image (mathematics); Mathematics; Metric (unit); 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004706134,0.0002703785,0.0002870713,0.0001737459,0.0005413726,0.0005080417,0.0006455374,0.0001075463,0.00004734995],"category_scores_gemma":[0.00001765855,0.0002549061,0.0001698701,0.0003339258,0.00009415662,0.002319757,0.000007332719,0.0002904355,0.00001996687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009870146,"about_ca_system_score_gemma":0.0003320321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004530924,"about_ca_topic_score_gemma":0.0000627397,"domain_scores_codex":[0.9979842,0.000121679,0.0004849793,0.0005988896,0.000357774,0.0004524454],"domain_scores_gemma":[0.9988052,0.0001079404,0.0002056149,0.0004673976,0.0002425652,0.0001713232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004395029,0.0005482599,0.0001475205,0.0006071338,0.0001032666,0.00002216758,0.01128199,0.0003534388,0.02427638,0.0008863992,0.0006096712,0.9607243],"study_design_scores_gemma":[0.003706904,0.0006939351,0.004651594,0.0002370373,0.0001140077,0.00005409923,0.0009216643,0.2194054,0.7461851,0.02219347,0.0003835108,0.001453302],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005945771,0.00004733338,0.991725,0.0007162699,0.0004407897,0.0004054381,0.00002057045,0.0003452846,0.0003534879],"genre_scores_gemma":[0.763785,0.000003605113,0.2350782,0.0005530059,0.00005900155,0.00006033096,0.000001672329,0.00002012915,0.0004390361],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.959271,"threshold_uncertainty_score":0.9999903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08641638802968651,"score_gpt":0.3573320179120764,"score_spread":0.2709156298823898,"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."}}