{"id":"W4291377769","doi":"10.1016/j.neunet.2022.08.009","title":"Interpretable Artificial Intelligence through Locality Guided Neural Networks","year":2022,"lang":"en","type":"article","venue":"Neural Networks","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Locality; Computer science; Artificial intelligence; Artificial neural network; Deep learning; Convolutional neural network; Layer (electronics); Pattern recognition (psychology); Topology (electrical circuits); Machine learning; Mathematics","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":[0.0004642086,0.0003997948,0.0004621646,0.0004380216,0.0003633995,0.0008557364,0.0007884566,0.0007417738,0.002172458],"category_scores_gemma":[0.002710757,0.0003019555,0.0004895084,0.0003214834,0.001118573,0.00169355,0.001421194,0.001468857,0.0002077903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007279037,"about_ca_system_score_gemma":0.0003830722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002324272,"about_ca_topic_score_gemma":0.00367908,"domain_scores_codex":[0.9997925,0.00007951102,0.000009448657,0.00004644317,0.00005222204,0.00001987106],"domain_scores_gemma":[0.999054,0.0005799556,0.0001103683,0.0001492965,0.00007842785,0.00002780796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009165199,0.00006689205,0.0008950091,0.0001055143,0.00006117958,0.0001443396,0.0002108069,0.7248045,0.005442571,0.2012976,0.001707903,0.06517202],"study_design_scores_gemma":[0.000003964427,0.000007612467,0.00007337357,0.00000460183,0.000004627116,0.000009392308,0.000008915658,0.9204522,0.0004811563,0.07862941,0.0003218494,0.000002906612],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04357952,0.0003556151,0.9494197,0.0007623825,0.00004529589,0.00003256693,0.00005846906,0.0006714193,0.005075009],"genre_scores_gemma":[0.8392835,0.0003024841,0.1565707,0.0001970786,0.00006378868,0.00007380447,0.0001206276,0.0001453577,0.003242658],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002324272,"threshold_uncertainty_score":0.007267654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05669420740494637,"score_gpt":0.2999425370425506,"score_spread":0.2432483296376042,"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."}}