{"id":"W4386331794","doi":"10.18280/ts.400444","title":"Classification and Diagnosis of Mammary Tumors in Dogs Using Deep Learning Techniques","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"AI in cancer detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Burdur Mehmet Akif Ersoy Üniversitesi","keywords":"Deep learning; Artificial intelligence; Computer science; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000436675,0.000460185,0.0003492554,0.001035696,0.0001590223,0.0004419391,0.0004415464,0.0006595367,0.0006261181],"category_scores_gemma":[0.0006866035,0.0001636743,0.0004825833,0.0004113625,0.0001702202,0.0003873109,0.0003461463,0.000448306,0.0002858666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003746834,"about_ca_system_score_gemma":0.0003623516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002947222,"about_ca_topic_score_gemma":0.004756227,"domain_scores_codex":[0.9997708,0.00003252957,0.00002047736,0.00006456778,0.00006302012,0.00004860074],"domain_scores_gemma":[0.9997291,0.00008777082,0.00004600316,0.00002279201,0.00009550303,0.00001884974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000629793,0.0005226543,0.06021629,0.0002683928,0.0001876715,0.001046036,0.0001980058,0.0952462,0.1234073,0.001771475,0.005890491,0.7106157],"study_design_scores_gemma":[0.00001448258,0.0002803337,0.01813628,0.00003386596,0.00006209129,0.00047862,0.0001243768,0.9432393,0.03402837,0.001281082,0.002299687,0.00002151412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6029247,0.001957101,0.3878719,0.0006355439,0.0001667642,0.0001308028,0.0007418366,0.001886597,0.003684819],"genre_scores_gemma":[0.9036488,0.0006393901,0.09109163,0.0001659473,0.00003708078,0.00005401781,0.001171849,0.00002839527,0.003162841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002947222,"threshold_uncertainty_score":0.00586009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03448578612135991,"score_gpt":0.2736170234912668,"score_spread":0.2391312373699069,"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."}}