{"id":"W4406614325","doi":"10.3390/fishes10010036","title":"Evaluating Batch Imaging as a Method for Non-Lethal Identification of Freshwater Fishes","year":2025,"lang":"en","type":"article","venue":"Fishes","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; University of Toronto; Fisheries and Oceans Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Identification (biology); Biology; Fishery; Zoology; Computational biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008581293,0.0001115851,0.0001350525,0.00008747463,0.0001265441,0.00006504019,0.000242416,0.00008494936,0.00005401653],"category_scores_gemma":[0.0006314107,0.0001146683,0.0001166579,0.0001362086,0.00005675165,0.000009661089,0.00005906033,0.00004764022,0.00001483688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001106747,"about_ca_system_score_gemma":0.0000874957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000302186,"about_ca_topic_score_gemma":0.00002313013,"domain_scores_codex":[0.998802,0.00008232211,0.0004582533,0.0003777457,0.0001281623,0.000151484],"domain_scores_gemma":[0.998855,0.00006836938,0.0002038574,0.0004528107,0.0003935693,0.00002640794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004712021,0.00004890921,0.001118038,0.00009043753,0.00005042239,6.731872e-8,0.0001226214,0.00003411129,0.9673151,0.0008027059,0.02011561,0.01025484],"study_design_scores_gemma":[0.0003915819,0.00004130803,0.004313827,0.00002666557,0.00004682246,0.000002465073,0.0002230352,0.007061195,0.9559901,0.0008291955,0.03095317,0.0001206823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6757602,0.0002837318,0.3139399,0.003640416,0.001081737,0.001003925,0.0001726009,0.00004226969,0.004075213],"genre_scores_gemma":[0.9666594,0.00001429853,0.02299586,0.0003082827,0.0001039316,0.0002276684,0.000500015,0.00001803975,0.009172553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.290944,"threshold_uncertainty_score":0.4676037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787315201391316,"score_gpt":0.3908813047404158,"score_spread":0.3630081527265026,"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."}}