{"id":"W2120994923","doi":"10.1109/iembs.1995.575247","title":"A \"stochastic\" convolution that describes both image blur and image noise using linear-systems theory","year":2002,"lang":"en","type":"article","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Victoria Hospital; Robarts Clinical Trials","funders":"","keywords":"Convolution (computer science); Image restoration; Noise (video); Image (mathematics); Computer vision; Computer science; Artificial intelligence; Image noise; Image processing; Mathematics","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":[0.001118524,0.0009109387,0.000932871,0.0006976876,0.000507318,0.001151299,0.001016079,0.001513946,0.001530531],"category_scores_gemma":[0.002110079,0.0002908979,0.001040895,0.001057347,0.001613491,0.002009207,0.001097722,0.001277839,0.0007071526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006854338,"about_ca_system_score_gemma":0.0008995172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001633454,"about_ca_topic_score_gemma":0.001165034,"domain_scores_codex":[0.9990251,0.0002667313,0.00006367666,0.0001613594,0.0004187557,0.00006434155],"domain_scores_gemma":[0.9992704,0.0003429185,0.0001119857,0.0001164499,0.0001343934,0.00002388015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004105148,0.00006309962,0.0008239442,0.0003531084,0.000098048,0.0006142324,0.0002977429,0.3128673,0.02131306,0.5907515,0.004475827,0.06830108],"study_design_scores_gemma":[0.000003995379,0.00004334713,0.0002995013,0.00001923344,0.00002135168,0.0006211934,0.00002027471,0.8963158,0.004194498,0.09055142,0.00787749,0.00003181088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001883475,0.0004879487,0.9950837,0.0001630163,0.00009500652,0.00001662343,0.0000307162,0.0001156854,0.002123704],"genre_scores_gemma":[0.4175329,0.00386061,0.5589784,0.0008756209,0.0007719244,0.0002097441,0.0002521944,0.0002415018,0.01727701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001633454,"threshold_uncertainty_score":0.005915403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05825811856913299,"score_gpt":0.308282963600001,"score_spread":0.250024845030868,"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."}}