{"id":"W2113645392","doi":"10.1109/isspit.2006.270930","title":"Localization of Hot Spots in Proteins Using Digital Filters","year":2006,"lang":"en","type":"article","venue":"","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Filter (signal processing); Infinite impulse response; Computer science; Computation; Digital filter; Energy (signal processing); Low-pass filter; 2D Filters; Computer vision; Algorithm; 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":[0.0003666652,0.0003345569,0.000358349,0.0008492182,0.0002704864,0.0007013642,0.000557483,0.0005131848,0.001416951],"category_scores_gemma":[0.0006715914,0.0002766921,0.0003070069,0.000461684,0.0006356787,0.000828604,0.0004872072,0.0004726698,0.0006731786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005031101,"about_ca_system_score_gemma":0.0002336971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003479845,"about_ca_topic_score_gemma":0.0006268931,"domain_scores_codex":[0.9998105,0.00002459852,0.000009360171,0.00005628285,0.00007291075,0.00002625235],"domain_scores_gemma":[0.9996628,0.0001247623,0.00006121354,0.00006409865,0.00005723283,0.00002988826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001740006,0.00002346769,0.0005853939,0.0001206579,0.00001828516,0.00009484304,0.00006923781,0.001986913,0.9317749,0.00416188,0.0003672907,0.06062321],"study_design_scores_gemma":[0.00003359216,0.0001762829,0.002488063,0.00001497523,0.00002865188,0.0006734442,0.00005058619,0.04109886,0.9439523,0.002826776,0.008615471,0.00004091808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1104019,0.001009902,0.8847447,0.0002089049,0.0001296215,0.00003317415,0.00007222052,0.001176744,0.002222773],"genre_scores_gemma":[0.4053403,0.001150486,0.5877569,0.0001429524,0.00007239467,0.00006813028,0.0001557435,0.00009873761,0.005214338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001416951,"threshold_uncertainty_score":0.004740179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005014333832998439,"score_gpt":0.2153651766400977,"score_spread":0.2103508428070993,"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."}}