{"id":"W4381135039","doi":"10.32920/22734359.v1","title":"DLIME: A Deterministic Local Interpretable Model - Agnostic Explanations Approach for Computer-Aided Diagnosis Systems","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Interpretability; Artificial intelligence; Machine learning; Cluster analysis; Feature selection; Classifier (UML); Data mining; Stability (learning theory); Popularity; Pattern recognition (psychology)","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000886725,0.0006782426,0.0009208456,0.0006060708,0.0003934478,0.001484105,0.003597789,0.0004933574,0.000007472852],"category_scores_gemma":[0.0004113868,0.0006843538,0.000385005,0.0005701315,0.0001614135,0.0005446208,0.003300384,0.0006003429,0.0002068776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004019861,"about_ca_system_score_gemma":0.0005491957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009851569,"about_ca_topic_score_gemma":0.0001192492,"domain_scores_codex":[0.9950354,0.000178787,0.001214297,0.001935665,0.0006325104,0.001003358],"domain_scores_gemma":[0.9944916,0.002153452,0.0004139557,0.0020824,0.000535365,0.0003232307],"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":[0.000007626365,0.0002096163,0.00002638382,0.0005947059,0.00009757384,0.00002434912,0.0008284305,0.9265634,0.000006890422,0.05934153,0.008731408,0.003568084],"study_design_scores_gemma":[0.0001212338,0.0001431598,0.000007380374,0.0003537742,0.00007602721,0.00001553892,0.000221294,0.979257,0.0003502387,0.01854535,0.0001704101,0.0007386148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003267189,0.0001475495,0.9910414,0.0004127104,0.002613489,0.002767629,0.0001643127,0.001411254,0.001114896],"genre_scores_gemma":[0.6506236,0.00006680853,0.3391961,0.0002653825,0.0002790885,0.007388497,0.0002204709,0.00009763111,0.001862513],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6518454,"threshold_uncertainty_score":0.9995608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.111044377999896,"score_gpt":0.3149733058238708,"score_spread":0.2039289278239748,"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."}}