{"id":"W3119612495","doi":"10.33137/juls.v14i1.35833","title":"Visualization of Layers Within a Convolutional Neural Network Using Gradient Activation Maps","year":2020,"lang":"en","type":"article","venue":"Journal of Undergraduate Life Sciences","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Convolutional neural network; Visualization; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004322568,0.001264718,0.0002850922,0.0009083131,0.0002928011,0.0009733662,0.0007517866,0.0005682046,0.01229274],"category_scores_gemma":[0.002054015,0.0003998455,0.0006908947,0.0003857897,0.000264955,0.0009308729,0.0007607776,0.0008985227,0.0009094112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006986351,"about_ca_system_score_gemma":0.000889966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007447375,"about_ca_topic_score_gemma":0.008540506,"domain_scores_codex":[0.9998378,0.00003395003,0.00001018076,0.00003426561,0.00005304428,0.00003077302],"domain_scores_gemma":[0.9994923,0.0002546712,0.00005030634,0.00005036336,0.00011379,0.0000386044],"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":[0.001028567,0.000260428,0.01047657,0.001095976,0.0002162043,0.001178506,0.0012366,0.5202976,0.106123,0.01458047,0.0339405,0.3095655],"study_design_scores_gemma":[0.00002406064,0.00009691078,0.003159646,0.0000962054,0.00002883628,0.0001403907,0.0001090228,0.9551922,0.02853859,0.005794403,0.00677624,0.00004355623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.226181,0.0007559889,0.7342414,0.001485618,0.0003430148,0.000250738,0.003621264,0.02160323,0.01151762],"genre_scores_gemma":[0.6471578,0.000548333,0.3420742,0.0001898465,0.00003731471,0.0003304197,0.001819544,0.001472894,0.006369635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01229274,"threshold_uncertainty_score":0.04112333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06446286893220793,"score_gpt":0.2983334559458125,"score_spread":0.2338705870136046,"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."}}