{"id":"W2963041618","doi":"10.1109/ijcnn.2018.8489172","title":"Interpretable Deep Convolutional Neural Networks via Meta-learning","year":2018,"lang":"en","type":"article","venue":"","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Convolutional neural network; Artificial intelligence; Deep learning; Machine learning","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":[0.001458235,0.001337353,0.0007560145,0.001099352,0.0003660306,0.001705739,0.001678474,0.001024131,0.001827334],"category_scores_gemma":[0.005607185,0.00066149,0.00178496,0.0006646262,0.001150061,0.002570379,0.001621437,0.002397189,0.0003656177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407168,"about_ca_system_score_gemma":0.0006858014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001865532,"about_ca_topic_score_gemma":0.004186927,"domain_scores_codex":[0.9991482,0.0003307359,0.00005587496,0.0002254339,0.0001776824,0.000062021],"domain_scores_gemma":[0.9980713,0.0009263078,0.0002208832,0.0005535823,0.0001804103,0.00004765794],"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":[0.0001478982,0.00008069538,0.002567353,0.000178479,0.0002208399,0.0003591467,0.0003751701,0.7604163,0.007039111,0.08062131,0.002033523,0.1459603],"study_design_scores_gemma":[0.000007641989,0.00001607944,0.0001112935,0.00001710353,0.00001783124,0.00002224216,0.0000179446,0.9263126,0.001671057,0.07106237,0.0007377358,0.000006135348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01593504,0.000197755,0.9810596,0.000305941,0.00002370291,0.00003593496,0.0001435287,0.001066128,0.001232464],"genre_scores_gemma":[0.5677604,0.0003326212,0.4282551,0.0002378127,0.00005785163,0.0001709135,0.0008905242,0.0003336868,0.001960986],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001865532,"threshold_uncertainty_score":0.01020974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03044714500005301,"score_gpt":0.2650699353997574,"score_spread":0.2346227903997044,"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."}}