{"id":"W3213875173","doi":"10.1364/pcaop.2021.ptu4c.2","title":"Quality Metrics for Atmospherically Distorted Images","year":2021,"lang":"en","type":"article","venue":"OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Royal Military College of Canada","funders":"","keywords":"Computer science; Image quality; Artificial intelligence; Quality (philosophy); Ground truth; Remote sensing; Computer vision; Image (mathematics); Geography","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":[0.002764095,0.00108034,0.0007404358,0.005617617,0.0006483201,0.002363699,0.001084613,0.0008251714,0.004221938],"category_scores_gemma":[0.01507722,0.0003262656,0.000634654,0.002955444,0.0007709236,0.002497482,0.001332885,0.001101917,0.001238323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101345,"about_ca_system_score_gemma":0.0006012978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002651233,"about_ca_topic_score_gemma":0.00252657,"domain_scores_codex":[0.9960062,0.0004937798,0.0003345333,0.0002496758,0.002766811,0.0001489458],"domain_scores_gemma":[0.9899104,0.001994278,0.00139752,0.0008687437,0.005624651,0.0002043042],"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":[0.0006585451,0.0001573114,0.01436677,0.002178299,0.0003075365,0.0005723384,0.0007267305,0.0456865,0.1638645,0.02399431,0.01889744,0.7285897],"study_design_scores_gemma":[0.00009600454,0.001308383,0.05233108,0.001142218,0.0004212506,0.009278856,0.001045348,0.3909622,0.3469402,0.0295353,0.1662041,0.0007350615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04568423,0.01209064,0.9224659,0.0005474362,0.0004862005,0.0004863754,0.001358844,0.002606994,0.01427328],"genre_scores_gemma":[0.2880544,0.009057043,0.6882569,0.00032964,0.0003755761,0.0003856971,0.003369235,0.001236991,0.008934562],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005617617,"threshold_uncertainty_score":0.0146181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276631694426029,"score_gpt":0.3041925078083115,"score_spread":0.2814261908640512,"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."}}