{"id":"W4410216546","doi":"10.55041/isjem03425","title":"Dog Breed Prediction Using Deep Learning","year":2025,"lang":"en","type":"article","venue":"International Scientific Journal of Engineering and Management","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breed; Artificial intelligence; Deep learning; Computer science; Biology; Animal science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001038599,0.00005703252,0.00007546717,0.0004270044,0.00008358497,0.0003246386,0.0003268028,0.0000160347,0.000002510995],"category_scores_gemma":[0.00005596285,0.00005254003,0.00004090773,0.0002734685,0.00001562516,0.0003115802,0.0001309893,0.00009899871,7.0871e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005227454,"about_ca_system_score_gemma":0.00001065516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002005229,"about_ca_topic_score_gemma":4.454703e-7,"domain_scores_codex":[0.9992918,0.0000202344,0.0002142534,0.0001300851,0.0002454499,0.00009818138],"domain_scores_gemma":[0.999628,0.00004051615,0.00008612494,0.00008640594,0.0001271189,0.00003181543],"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":[0.00001104467,0.00007456804,0.007397726,0.0001066327,0.0004829095,0.00008412034,0.0004797642,0.6351594,0.006816961,0.08878125,0.0005458547,0.2600597],"study_design_scores_gemma":[0.0004020667,0.00002384316,0.02471672,0.0002172123,0.00001905308,0.00004654375,0.00004322567,0.9119903,0.0004358232,0.001233461,0.0607888,0.00008292004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03900096,0.0002493178,0.954911,0.0002283337,0.00448508,0.00003171994,2.68826e-7,0.00002813225,0.001065191],"genre_scores_gemma":[0.8920287,0.00009039909,0.1070065,0.00002455694,0.00008046487,9.626126e-7,6.624772e-7,0.000003022772,0.0007646513],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8530278,"threshold_uncertainty_score":0.3130498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097976792008334,"score_gpt":0.2672099213147186,"score_spread":0.2562301533946353,"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."}}