{"id":"W4403667991","doi":"10.18280/isi.290506","title":"Sick and Dead Chicken Detection System Based on YOLO Algorithm","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm; Artificial intelligence","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":[0.0003553568,0.0006100426,0.0007234087,0.001131345,0.0003124171,0.0005947126,0.0007503372,0.0005461229,0.001154892],"category_scores_gemma":[0.0006136479,0.0002479697,0.0004558733,0.0002598545,0.0001818426,0.0005703353,0.0006081739,0.0003813032,0.0007569106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003707826,"about_ca_system_score_gemma":0.000440313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005533569,"about_ca_topic_score_gemma":0.009701406,"domain_scores_codex":[0.9997231,0.00001853292,0.00001815259,0.0001258853,0.0000674043,0.00004684575],"domain_scores_gemma":[0.9997512,0.00004930057,0.00004024225,0.00002695396,0.0001092146,0.00002315685],"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":[0.001591364,0.0005205826,0.04090763,0.000438352,0.000201611,0.0007164459,0.00039143,0.02161467,0.2131742,0.0009904242,0.01460592,0.7048473],"study_design_scores_gemma":[0.0001132833,0.0007716168,0.04867514,0.0000916436,0.00019815,0.001061684,0.0002587569,0.8447994,0.09266522,0.0006738167,0.01060229,0.00008907265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4493146,0.002331426,0.5248507,0.0004916506,0.0002673175,0.0005869687,0.001414428,0.01328234,0.007460599],"genre_scores_gemma":[0.7129067,0.0008671077,0.2717566,0.0005068596,0.00008822131,0.0003565471,0.00360831,0.0001449446,0.009764716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005533569,"threshold_uncertainty_score":0.01100272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005911007274347639,"score_gpt":0.2035333066802734,"score_spread":0.1976222994059257,"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."}}