{"id":"W4413061107","doi":"10.3390/electronics14142874","title":"Deep Learning for Computer Vision Application","year":2025,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Public Safety Canada","funders":"","keywords":"Deep learning; Artificial intelligence; Computer science; Artificial neural network; Deep neural networks; Machine learning; Human–computer interaction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009834432,0.00008163531,0.00008302689,0.00005424513,0.0002276376,0.00005342964,0.0004664022,0.00004193201,6.172407e-7],"category_scores_gemma":[0.00000984492,0.0000850778,0.00004120086,0.0004611989,0.00001335928,0.0001574769,0.0001122941,0.0001525122,0.00001747612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008765759,"about_ca_system_score_gemma":0.00003770865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.51458e-7,"about_ca_topic_score_gemma":0.000006445337,"domain_scores_codex":[0.9991915,0.00001897678,0.0001311766,0.0003219415,0.00007228154,0.0002640714],"domain_scores_gemma":[0.9993536,0.0001537232,0.00005699206,0.0003438639,0.00006544273,0.00002631508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003449569,0.00001713431,0.00001717515,0.000004683616,0.000004430395,5.79244e-8,0.00001378199,0.02879469,0.001342777,0.3456908,0.0006431633,0.6234679],"study_design_scores_gemma":[0.0001135359,0.00006559064,0.0001028024,0.000002965898,0.000002508939,0.000001019655,5.27742e-7,0.665479,0.00103919,0.03158465,0.3015491,0.00005913514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003313924,0.001277452,0.9956688,0.001608458,0.00007444481,0.0003843714,8.672984e-8,0.0002568718,0.0003981322],"genre_scores_gemma":[0.4029294,0.0004356841,0.5931264,0.001506654,0.0002003323,0.0005981448,0.000030268,0.00002079208,0.001152324],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6366843,"threshold_uncertainty_score":0.3469372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005766111807368011,"score_gpt":0.2752802122171564,"score_spread":0.2695141004097883,"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."}}