{"id":"W4413173496","doi":"10.18280/ts.420439","title":"Automated Detection of Waterborne Pathogens in Aquaculture Using an Enhanced Swin-Transformer Model","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Princess Nourah Bint Abdulrahman University","keywords":"Aquaculture; Environmental science; Fishery; Computer science; Biology; Fish <Actinopterygii>","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":[0.0002847264,0.0006406258,0.0004781728,0.0004926738,0.0001848924,0.0005549164,0.0009151978,0.0006248266,0.001152203],"category_scores_gemma":[0.0005540203,0.000273912,0.0005795211,0.0002289887,0.0003058556,0.0007328664,0.0005253349,0.0004647288,0.0003666944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000635743,"about_ca_system_score_gemma":0.0007797639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008158675,"about_ca_topic_score_gemma":0.008020499,"domain_scores_codex":[0.9998885,0.00001342878,0.000005487938,0.00004336035,0.00002550577,0.00002361946],"domain_scores_gemma":[0.9998118,0.00006674202,0.00002764983,0.00001492153,0.00006324258,0.00001560847],"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":[0.0003637219,0.0001947922,0.007332835,0.00008760482,0.0000818811,0.0002245772,0.00006523568,0.826998,0.02912006,0.002605284,0.001373345,0.1315527],"study_design_scores_gemma":[0.00000215047,0.00001972053,0.0002202368,0.000001098365,0.000005628724,0.00001556543,0.000002395598,0.9983664,0.001020151,0.0002465571,0.00009783551,0.0000022525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2277029,0.0004820143,0.7645808,0.0003705529,0.00008813902,0.000104089,0.0002605977,0.001958535,0.004452385],"genre_scores_gemma":[0.9635081,0.0002019766,0.03188241,0.0001319109,0.00001899363,0.00005481276,0.0002430659,0.00003534377,0.003923388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008158675,"threshold_uncertainty_score":0.01622242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633039718685605,"score_gpt":0.2728415596895313,"score_spread":0.2465111625026752,"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."}}