{"id":"W4409669179","doi":"10.1038/s41598-025-92945-2","title":"The shallowest transparent and interpretable deep neural network for image recognition","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; University of Regina; University of Wisconsin-Madison","keywords":"Computer science; Artificial intelligence; Image (mathematics); Artificial neural network; Pattern recognition (psychology); Deep neural networks; Computer vision","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008881048,0.00101936,0.0005375005,0.0004482908,0.0002597343,0.001416319,0.001729279,0.001254643,0.002088718],"category_scores_gemma":[0.003371747,0.0005815518,0.000973669,0.0003861674,0.001021533,0.003057109,0.001494137,0.002486554,0.0007616059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009266545,"about_ca_system_score_gemma":0.001328943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003545844,"about_ca_topic_score_gemma":0.004724973,"domain_scores_codex":[0.999414,0.000121248,0.00003321154,0.0001571107,0.0002063311,0.00006810718],"domain_scores_gemma":[0.9990661,0.0002918993,0.0001398024,0.0002692867,0.0001709185,0.00006204962],"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":[0.0004076957,0.0001364631,0.002652628,0.0003097008,0.0002159852,0.0003694466,0.0001700879,0.5839249,0.02862637,0.05510755,0.009200932,0.3188783],"study_design_scores_gemma":[0.000007954074,0.00004572062,0.0002669661,0.00002057443,0.00002117497,0.00005975389,0.000009007724,0.973071,0.004805157,0.0199431,0.001733864,0.00001559056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01380137,0.0005317964,0.9810891,0.0004346949,0.0000743798,0.00003909456,0.000209898,0.001543809,0.002275823],"genre_scores_gemma":[0.6423088,0.00104302,0.3457277,0.0006097915,0.000103817,0.0001443252,0.0009731244,0.0002927173,0.008796676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003545844,"threshold_uncertainty_score":0.007050395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994948144689694,"score_gpt":0.2770829542119878,"score_spread":0.2571334727650908,"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."}}