{"id":"W2385803373","doi":"","title":"Metric of image quality based on structural similarity","year":2007,"lang":"en","type":"article","venue":"Guangdian gongcheng","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Artificial intelligence; Image quality; Set partitioning in hierarchical trees; Computer science; Luminance; Image (mathematics); Computer vision; Pattern recognition (psychology); Distortion (music); Feature detection (computer vision); Similarity (geometry); Image compression; Set (abstract data type); Mathematics; Image processing","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":[0.001643478,0.0007109576,0.0008034958,0.003527744,0.000304064,0.001596147,0.0007908967,0.000646695,0.001426879],"category_scores_gemma":[0.004966777,0.0002141937,0.0006721577,0.00176738,0.001103109,0.003434138,0.0009946304,0.0007050608,0.0004055125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008649803,"about_ca_system_score_gemma":0.0004626133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000740391,"about_ca_topic_score_gemma":0.0005764812,"domain_scores_codex":[0.9971977,0.0005829346,0.0002196886,0.0003216449,0.001594182,0.00008369885],"domain_scores_gemma":[0.9967986,0.0008820312,0.0003762908,0.0003247051,0.001502256,0.0001160666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000471288,0.0001824677,0.01399953,0.001160627,0.0005114141,0.000284856,0.0006418594,0.06496191,0.1237564,0.09042756,0.00446569,0.6991364],"study_design_scores_gemma":[0.00006960882,0.0018313,0.0262151,0.000159816,0.0002971561,0.002255831,0.0005103627,0.8257546,0.08080707,0.04172206,0.02011719,0.0002598029],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02075186,0.001010325,0.9742022,0.0001100698,0.00007969014,0.00009118883,0.00009524391,0.000336503,0.003322905],"genre_scores_gemma":[0.6137518,0.001417034,0.3814256,0.00007798777,0.0001522431,0.0002449553,0.0003892046,0.0001231959,0.002417962],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003527744,"threshold_uncertainty_score":0.008691669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04001883460507018,"score_gpt":0.3246959976842536,"score_spread":0.2846771630791834,"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."}}