{"id":"W2964213580","doi":"","title":"Subjective and Objective Quality Assessment of Image: A Survey","year":2014,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Image quality; Distortion (music); Feature (linguistics); Quality (philosophy); Artificial intelligence; Computer science; Fidelity; Similarity (geometry); Range (aeronautics); Pattern recognition (psychology); Image processing; Measure (data warehouse); Data mining; Quality Score; Computer vision; Image (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005149097,0.001059788,0.001218123,0.006681847,0.0005341437,0.002626741,0.001345113,0.001107528,0.003103862],"category_scores_gemma":[0.01191576,0.0003623453,0.0009250107,0.006398174,0.001142975,0.00277904,0.0009916641,0.0007269169,0.001223497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007801786,"about_ca_system_score_gemma":0.0009584534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003125911,"about_ca_topic_score_gemma":0.002276893,"domain_scores_codex":[0.9948611,0.0009363754,0.0006549958,0.0005275442,0.002911572,0.0001084811],"domain_scores_gemma":[0.9885472,0.004782266,0.000950442,0.0005676383,0.004945152,0.0002072559],"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":[0.0001967468,0.0001075797,0.01038603,0.006510353,0.0001399677,0.0001764828,0.0003618362,0.002968509,0.006391062,0.004281771,0.01215649,0.9563232],"study_design_scores_gemma":[0.00007685692,0.001773818,0.1119897,0.009771332,0.0009224713,0.009144951,0.003659444,0.05435351,0.0385708,0.02387931,0.7450793,0.0007785052],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05194049,0.6572401,0.2480069,0.00242283,0.001029399,0.0006198792,0.002805655,0.001011232,0.03492347],"genre_scores_gemma":[0.271126,0.5600768,0.1444262,0.001614,0.001951432,0.0007248024,0.00645719,0.00046407,0.01315938],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006681847,"threshold_uncertainty_score":0.02723134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3237018083929355,"score_gpt":0.610291719362176,"score_spread":0.2865899109692405,"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."}}