{"id":"W4417509344","doi":"10.1109/aibthings66987.2025.11296249","title":"Optimized Bio-Inspired Thermal Image Analysis for Mastitis Detection Using YOLOv8 Probabilistic Spiking Networks","year":2025,"lang":"","type":"article","venue":"","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University","funders":"","keywords":"Probabilistic logic; Convolutional neural network; Pattern recognition (psychology); Spiking neural network; Residual; Feature extraction; Multispectral image; Minimum bounding box; Precision and recall","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002287929,0.0005013919,0.0003356697,0.0002472053,0.000159091,0.0003733117,0.0008130334,0.0004124246,0.0009987525],"category_scores_gemma":[0.0005680448,0.0002679006,0.000494209,0.0001683096,0.0002366373,0.0003511049,0.0004885738,0.0004379291,0.0001837991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005017505,"about_ca_system_score_gemma":0.0006644929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005402394,"about_ca_topic_score_gemma":0.007564247,"domain_scores_codex":[0.9999162,0.00001003396,0.000003567302,0.00002879203,0.00002468408,0.00001671894],"domain_scores_gemma":[0.9999098,0.00002909842,0.00001657333,0.000007064903,0.00002879105,0.000008683201],"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":[0.0001269098,0.00005349488,0.00268726,0.00005168955,0.00005629043,0.00006488171,0.00003556106,0.8660369,0.02226246,0.002283616,0.001058914,0.1052821],"study_design_scores_gemma":[0.000001522931,0.000008597732,0.0001295007,0.000001275499,0.000003236963,0.000005402962,0.000001268868,0.9985903,0.0008719369,0.0002752485,0.000110216,0.000001436011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08470293,0.0003687169,0.9104783,0.0001768944,0.00004123623,0.00003515827,0.0001268508,0.001375275,0.002694561],"genre_scores_gemma":[0.8608109,0.0002273634,0.1344985,0.0001497049,0.00001959639,0.00008532587,0.0003335467,0.0001159537,0.003759076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005402394,"threshold_uncertainty_score":0.01074189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506447738517108,"score_gpt":0.2391685428625898,"score_spread":0.2241040654774187,"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."}}