{"id":"W4392910561","doi":"10.1109/icassp48485.2024.10446190","title":"RTLBP-AN Efficient Local Pattern For Facial Images Retrieval","year":2024,"lang":"en","type":"article","venue":"","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BioNB; University of Fredericton","funders":"Indian Institute of Technology Roorkee","keywords":"Computer science; Artificial intelligence; Computer vision; Pattern recognition (psychology)","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":[0.0004830903,0.0006179058,0.001266423,0.002607254,0.0003950487,0.0008187972,0.001447237,0.000689374,0.006766946],"category_scores_gemma":[0.001400934,0.0002575689,0.0006757852,0.002499738,0.000317901,0.001736021,0.001292926,0.0006899741,0.004966855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004432594,"about_ca_system_score_gemma":0.0006706349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002284403,"about_ca_topic_score_gemma":0.002411234,"domain_scores_codex":[0.9992927,0.00006519037,0.00004132915,0.0001187058,0.0004113301,0.00007065376],"domain_scores_gemma":[0.9996265,0.00005568132,0.00004664592,0.0001082913,0.0001332317,0.00002964498],"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":[0.0002977483,0.0001432598,0.0008372876,0.0002923601,0.00005663921,0.0001549689,0.00003676148,0.004371785,0.06862666,0.002376428,0.01747218,0.9053339],"study_design_scores_gemma":[0.0002440227,0.0009802484,0.01251346,0.0001172579,0.0001911065,0.00470775,0.0002142504,0.7404369,0.1678627,0.00836678,0.06418497,0.0001806139],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03328487,0.002893321,0.9486418,0.0002655446,0.0003912936,0.0005163273,0.002066852,0.006826075,0.005113833],"genre_scores_gemma":[0.295597,0.002579784,0.6757181,0.0004734685,0.0003109059,0.0009172424,0.008477456,0.0005607792,0.01536523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006766946,"threshold_uncertainty_score":0.02263767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041276232346908,"score_gpt":0.2936844930251632,"score_spread":0.2732717307016941,"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."}}