{"id":"W2375018849","doi":"","title":"Recognition Method of Image Spam Mail Based on Image Texture","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Support vector machine; Artificial intelligence; Gabor filter; Image (mathematics); Pattern recognition (psychology); Computer vision; Texture (cosmology); Noise (video); Filter (signal processing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002895095,0.0001826063,0.0001980317,0.0002149619,0.0001246752,0.000131449,0.0008599046,0.00009507661,0.00002861807],"category_scores_gemma":[0.000002607175,0.0001732065,0.0001319467,0.000746499,0.00005153695,0.0002903529,0.00006373831,0.0001788682,0.0001739479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004645003,"about_ca_system_score_gemma":0.00005686948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003801358,"about_ca_topic_score_gemma":1.689741e-7,"domain_scores_codex":[0.9986421,0.00008306395,0.0003492544,0.0004984352,0.0002139183,0.0002131642],"domain_scores_gemma":[0.9985806,0.0001093888,0.0001977723,0.0007336621,0.0002992015,0.0000793588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000450198,0.0002394172,0.000001900706,0.00001317958,0.000003597063,8.457139e-7,0.00003815259,0.000002327956,0.204053,0.00479128,0.001948671,0.7889031],"study_design_scores_gemma":[0.000396595,0.0001863244,0.0009213468,0.00004953757,0.00001562167,0.00001909379,0.000005846473,0.04821719,0.8314503,0.01954325,0.09884667,0.0003482543],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0000206684,0.00003072972,0.9915292,0.003389758,0.00001080962,0.0006324766,0.00002546626,0.0004201749,0.003940712],"genre_scores_gemma":[0.005878379,0.00001405209,0.9919775,0.001758853,0.00007673985,0.0001363592,0.00005214961,0.00001064265,0.00009528792],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7885548,"threshold_uncertainty_score":0.7063157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219496589500679,"score_gpt":0.2822684426607334,"score_spread":0.2700734767657266,"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."}}