{"id":"W4367849253","doi":"10.32920/22734389.v1","title":"Locality Guided Neural Networks for Explainable Artificial Intelligence","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Locality; Computer science; Artificial intelligence; Artificial neural network; Deep learning; Convolutional neural network; Layer (electronics); Topology (electrical circuits); Network topology; Pattern recognition (psychology); Mathematics; Computer network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005775614,0.0006544502,0.0004358002,0.0005079943,0.0002583631,0.0009345089,0.000683165,0.001027889,0.003147653],"category_scores_gemma":[0.002272859,0.0003213566,0.0005412509,0.0005522796,0.001544044,0.001961524,0.001072321,0.002101614,0.0005270791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009749816,"about_ca_system_score_gemma":0.0004727848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001952505,"about_ca_topic_score_gemma":0.002072139,"domain_scores_codex":[0.9997053,0.00009793551,0.00001280135,0.00006784409,0.00009533241,0.00002084933],"domain_scores_gemma":[0.999393,0.000365804,0.00006406736,0.0001143934,0.00004596134,0.00001672234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006134105,0.00003585548,0.0008204087,0.0003266916,0.0001098974,0.0001429135,0.0001581745,0.4020562,0.005403514,0.4233044,0.007292964,0.1602876],"study_design_scores_gemma":[0.000007876563,0.00001407059,0.0001969764,0.00002033078,0.000008247218,0.00003215007,0.00001097468,0.7689077,0.001337163,0.2231535,0.006300824,0.00001029153],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008164572,0.002263143,0.9810787,0.001910422,0.00009798499,0.00002851197,0.0001205891,0.0006726852,0.005663346],"genre_scores_gemma":[0.5569024,0.005760606,0.4238224,0.0008546578,0.000427258,0.0002449674,0.0006035512,0.0003830055,0.01100102],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003147653,"threshold_uncertainty_score":0.01052999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1846546280422109,"score_gpt":0.3587719475139085,"score_spread":0.1741173194716976,"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."}}