{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004961839,0.0008928708,0.0005463309,0.002116265,0.0002650008,0.0005620645,0.0009834494,0.0007922122,0.003348047],"category_scores_gemma":[0.001074421,0.0003101607,0.000642653,0.001024218,0.0002691926,0.0006660767,0.0005557972,0.0007033903,0.001291916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006298504,"about_ca_system_score_gemma":0.0005360909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01143441,"about_ca_topic_score_gemma":0.01799532,"domain_scores_codex":[0.9997631,0.00003252286,0.00001351765,0.00009785733,0.00004494302,0.00004809874],"domain_scores_gemma":[0.9996148,0.0001104235,0.00006740176,0.00003697315,0.0001219016,0.00004838793],"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":[0.0008672517,0.0009201215,0.1672988,0.0002551761,0.0004107773,0.0007333697,0.00007035241,0.31431,0.007638343,0.001511211,0.04384724,0.4621373],"study_design_scores_gemma":[0.00001429852,0.0000485253,0.007168918,0.00002827372,0.00003004193,0.0001118913,0.00002713555,0.9885285,0.001177454,0.001151241,0.001703748,0.000009885684],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7958345,0.004990519,0.1691649,0.001464356,0.0004732658,0.0001373673,0.01282191,0.005480328,0.009632784],"genre_scores_gemma":[0.9562196,0.000549684,0.02628697,0.0002674163,0.00007956801,0.00005085111,0.01276818,0.00006998226,0.003707822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01143441,"threshold_uncertainty_score":0.02273571,"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."}}