{"id":"W4365934488","doi":"10.1007/978-3-030-05481-6_26","title":"Correction to: Spectral Band Selection Using Binary Gray Wolf Optimizerand Signal to Noise Ration Measure","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thales (Canada)","funders":"","keywords":"Gray (unit); Binary number; Selection (genetic algorithm); Measure (data warehouse); Library science; Computer science; Algorithm; Mathematics; Artificial intelligence; Data mining; Arithmetic","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008547504,0.0004187961,0.0005338221,0.0005961336,0.0002144888,0.0005799779,0.0002543903,0.0005559729,0.000006400226],"category_scores_gemma":[0.00005107968,0.0003994424,0.00009453279,0.0004840879,0.00002178746,0.0002300757,0.00008083124,0.0007284916,0.000007068967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002383949,"about_ca_system_score_gemma":0.00009144127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002220077,"about_ca_topic_score_gemma":0.0006376982,"domain_scores_codex":[0.9977916,0.0001667794,0.0005319858,0.0007623705,0.0004062296,0.0003410022],"domain_scores_gemma":[0.9988546,0.0002891859,0.0002203339,0.0003052226,0.0001790551,0.000151552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005626325,0.00000804282,0.00006280498,0.00002520531,0.00002594764,0.00001137494,0.0005600609,0.9901035,0.0006187902,0.001503534,0.001578653,0.005445834],"study_design_scores_gemma":[0.0002217313,0.0003033435,0.00007176077,0.001022444,0.00002243194,0.00007385627,0.000003265146,0.9951396,0.000272095,0.001216771,0.00114532,0.000507364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003713687,0.000521319,0.99173,0.0001954266,0.003081986,0.001226684,0.000002981981,0.0004003063,0.002469928],"genre_scores_gemma":[0.9779828,0.0001300598,0.01087975,0.0005918613,0.002104661,0.0001057417,0.00004398528,0.0001351888,0.008025967],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9808503,"threshold_uncertainty_score":0.9998457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387914160086737,"score_gpt":0.250509204403203,"score_spread":0.2266300628023356,"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."}}