{"id":"W4417311715","doi":"10.18280/isi.301003","title":"Shrimp Classification Using Generative Adversarial Network with ResNet","year":2025,"lang":"","type":"article","venue":"Ingénierie des systèmes d information","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adversarial system; Residual neural network; Artificial neural network; Identification (biology); Pattern recognition (psychology); Identity (music)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000965181,0.0004528279,0.0004120603,0.0002828862,0.001140621,0.0006745702,0.0006316522,0.0004520418,0.0001138836],"category_scores_gemma":[0.0002344216,0.000424906,0.00008437918,0.001579368,0.001190514,0.004796738,0.0004907674,0.0004164752,0.0001960883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002758502,"about_ca_system_score_gemma":0.0002165326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007068879,"about_ca_topic_score_gemma":0.00005315799,"domain_scores_codex":[0.9968844,0.0002164307,0.001144149,0.0004053428,0.0005935999,0.0007560651],"domain_scores_gemma":[0.9981589,0.00009268825,0.0007654215,0.0007534994,0.0001395461,0.00008992982],"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":[0.001536726,0.0002091788,0.1178359,0.001224273,0.0006994237,0.00001227134,0.02586091,0.4551377,0.00908134,0.03398411,0.00660016,0.347818],"study_design_scores_gemma":[0.004794966,0.001307328,0.3527311,0.004387078,0.0007525179,0.00006650446,0.0236424,0.455339,0.06314977,0.04981928,0.04082987,0.003180165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7414427,0.0002255561,0.2383592,0.0004704987,0.002429347,0.001573883,0.00006708915,0.0005511707,0.01488058],"genre_scores_gemma":[0.9662751,0.00005924467,0.03293122,0.0001548742,0.000230633,0.0000680366,0.0000593574,0.00001818536,0.0002033599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3446378,"threshold_uncertainty_score":0.9998203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03444713277326734,"score_gpt":0.264042060166617,"score_spread":0.2295949273933496,"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."}}