{"id":"W4362693528","doi":"10.1117/12.2654307","title":"Multi-scale local explanation approach for image analysis using model-agnostic Explainable Artificial Intelligence (XAI)","year":2023,"lang":"en","type":"article","venue":"","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Artificial intelligence; Computer science; Scale (ratio); Convolutional neural network; Weighting; Machine learning; Artificial neural network; Deep learning; Scheme (mathematics); Pattern recognition (psychology); Mathematics; Geography","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":[0.0009622432,0.0009224636,0.0006351222,0.001543039,0.0003552782,0.00128484,0.001340469,0.001134974,0.002339766],"category_scores_gemma":[0.00294733,0.0003578404,0.00171024,0.000856748,0.001052815,0.001728237,0.00158148,0.001594992,0.0003080542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049131,"about_ca_system_score_gemma":0.0006027834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003078769,"about_ca_topic_score_gemma":0.004028376,"domain_scores_codex":[0.9995453,0.0001169307,0.00002278513,0.0001688835,0.00009853106,0.0000475882],"domain_scores_gemma":[0.998849,0.0005058706,0.0002033515,0.0002797638,0.0001153908,0.00004656668],"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":[0.0002472091,0.0001676258,0.009892062,0.0005441057,0.0005246425,0.001016535,0.001264236,0.4821349,0.02219639,0.1460887,0.008044134,0.3278795],"study_design_scores_gemma":[0.00001211164,0.00003546919,0.001420601,0.00002226092,0.00004493305,0.00008914919,0.00005867387,0.9199008,0.002549243,0.07316824,0.002677641,0.00002087207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0189204,0.0004785226,0.9770687,0.0006122333,0.00003287359,0.00004704571,0.0002221639,0.001555576,0.001062547],"genre_scores_gemma":[0.6417588,0.0005178135,0.3535709,0.0003893026,0.0001222241,0.0001680072,0.000823351,0.0003022795,0.002347377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003078769,"threshold_uncertainty_score":0.007827342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1167076144396556,"score_gpt":0.339419078557511,"score_spread":0.2227114641178554,"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."}}