{"id":"W2913690110","doi":"10.2991/ijcis.2018.25905178","title":"Spontaneous Concept Learning with Deep Autoencoder","year":2018,"lang":"en","type":"article","venue":"International Journal of Computational Intelligence Systems","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Solana Networks (Canada)","funders":"","keywords":"Autoencoder; Artificial intelligence; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003278248,0.000136888,0.0001812848,0.00028058,0.000137707,0.0003152007,0.001205449,0.00005364501,0.00006454682],"category_scores_gemma":[0.00004516213,0.0001110802,0.00008715856,0.0002615072,0.0001533664,0.0005273019,0.00008716435,0.0002364518,0.00008548692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001314903,"about_ca_system_score_gemma":0.0001741392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000236098,"about_ca_topic_score_gemma":0.000002492111,"domain_scores_codex":[0.9980749,0.00007974766,0.000625553,0.0002096314,0.0008568825,0.0001532073],"domain_scores_gemma":[0.9960974,0.0002067085,0.000641359,0.0001418922,0.002810612,0.000101966],"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":[0.00005102274,0.00007907673,0.0001037448,0.000003541271,0.000158346,0.0003492277,0.0009270046,0.7609828,0.00006184627,0.1947755,0.000349239,0.04215875],"study_design_scores_gemma":[0.0001704374,0.0008113881,0.0001571127,0.0001029544,0.00001008236,0.01801724,0.0003155503,0.942215,0.001466865,0.01849674,0.01801357,0.0002231023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002036191,0.0001253354,0.9946244,0.000574063,0.000843305,0.0001080688,0.000001756049,0.00009665427,0.001590272],"genre_scores_gemma":[0.8811218,0.00001280171,0.1178907,0.0001143886,0.0005925317,0.000007166609,0.000002590173,0.000009929265,0.0002481141],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8790856,"threshold_uncertainty_score":0.4529721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246320684610802,"score_gpt":0.2834297972876058,"score_spread":0.2709665904414978,"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."}}