{"id":"W4416183832","doi":"10.1109/sibgrapi67909.2025.11223494","title":"Visual Similarity Search of Cattle Brands Using Deep Learning on Binary Representations","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Convolutional neural network; Deep learning; Robustness (evolution); Image retrieval; Scalability; Pattern recognition (psychology); Binary number; Similarity (geometry); Binary classification","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000619569,0.001135304,0.001368832,0.002665447,0.0003467418,0.001667623,0.001812238,0.001123602,0.004771129],"category_scores_gemma":[0.001880617,0.0003750288,0.001135623,0.001905976,0.0004028209,0.002236096,0.001208614,0.0008790105,0.002848102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001078542,"about_ca_system_score_gemma":0.0006788144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007889838,"about_ca_topic_score_gemma":0.01077035,"domain_scores_codex":[0.9993648,0.00005989332,0.00003607088,0.0002823854,0.0001592108,0.00009767768],"domain_scores_gemma":[0.9995174,0.0001328449,0.00005599565,0.000143235,0.0001123881,0.0000380858],"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":[0.0005225988,0.0004465542,0.003746166,0.0003780071,0.0001648007,0.0001626627,0.0001102764,0.05855251,0.0440098,0.003140094,0.01499113,0.8737754],"study_design_scores_gemma":[0.00004216302,0.0002034451,0.003191666,0.00003608889,0.00005176204,0.0002736256,0.0001021544,0.9644074,0.02311083,0.004217196,0.004335016,0.00002856492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3852141,0.003557967,0.5693179,0.0004472724,0.000301181,0.0004611477,0.005208688,0.02246386,0.01302778],"genre_scores_gemma":[0.6961309,0.0007543382,0.2808679,0.0003933673,0.00009430639,0.0001401997,0.01194356,0.0003441915,0.00933126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007889838,"threshold_uncertainty_score":0.01596105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04466170591423781,"score_gpt":0.4074917404842033,"score_spread":0.3628300345699655,"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."}}