{"id":"W2036733311","doi":"10.1109/wisp.2007.4447575","title":"A Genetic Programming Approach for Classification of Textures Based on Wavelet Analysis","year":2007,"lang":"en","type":"article","venue":"","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Pattern recognition (psychology); Artificial intelligence; Genetic programming; Computer science; Wavelet; Contextual image classification; Majority rule; Class (philosophy); Energy (signal processing); Set (abstract data type); Texture (cosmology); Wavelet transform; Image (mathematics); Mathematics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002724152,0.0000602656,0.00009052161,0.0001938662,0.00007935788,0.0000227768,0.0002844592,0.00003506769,0.00000290907],"category_scores_gemma":[0.00001107336,0.00005006997,0.00009983146,0.000971963,0.00002552061,0.00004044418,0.00001647107,0.00003080127,0.000001021195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001874162,"about_ca_system_score_gemma":0.00002570712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001261516,"about_ca_topic_score_gemma":0.000005796906,"domain_scores_codex":[0.9992728,0.00001012748,0.0001872933,0.0002432327,0.0001518958,0.0001346624],"domain_scores_gemma":[0.9993239,0.00009908959,0.00008018121,0.0003700526,0.00008596297,0.00004078431],"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":[0.00001740566,0.001221053,0.004110602,0.00004293728,0.0001425431,3.839909e-7,0.0001458776,0.02053576,0.00305732,0.4492973,0.000507412,0.5209214],"study_design_scores_gemma":[0.0001031253,0.00004885066,0.09660052,9.207375e-7,0.00002812502,2.907386e-7,0.00002011741,0.90122,0.0005047494,0.0003524389,0.001063186,0.00005763724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001244057,0.00001266675,0.9963,0.0002243608,0.000008664926,0.0003033907,0.000002540484,0.00005298528,0.001851371],"genre_scores_gemma":[0.4824647,2.342618e-7,0.5173619,0.00003966207,0.00001427503,0.00005113184,0.00001201168,0.000001646206,0.00005445055],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8806843,"threshold_uncertainty_score":0.2041794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02424639772095961,"score_gpt":0.275863952962709,"score_spread":0.2516175552417494,"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."}}