{"id":"W4319309522","doi":"10.1109/ickg55886.2022.00022","title":"Deep Associative Classifier","year":2022,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Machine Intelligence Institute","keywords":"Artificial intelligence; Computer science; Associative property; Deep learning; Artificial neural network; Classifier (UML); Deep neural networks; Machine learning; Content-addressable memory; Recurrent neural network; Pattern recognition (psychology); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001490692,0.001199077,0.001379828,0.002253693,0.0008908118,0.001589408,0.002031603,0.001747392,0.009945697],"category_scores_gemma":[0.003404361,0.0002732961,0.001027153,0.002091832,0.0004715349,0.002896921,0.001367125,0.001653353,0.005310253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009964757,"about_ca_system_score_gemma":0.001774659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004475264,"about_ca_topic_score_gemma":0.005895701,"domain_scores_codex":[0.9986525,0.000146277,0.0001250917,0.0003182831,0.0005466397,0.0002111497],"domain_scores_gemma":[0.9986228,0.0003150598,0.00008293096,0.0002190832,0.0006853644,0.00007472051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002231284,0.0003012991,0.004872174,0.0002205735,0.0001338466,0.0001674173,0.00005693675,0.03375944,0.004866593,0.01530287,0.03899026,0.9011054],"study_design_scores_gemma":[0.00005993551,0.0002186263,0.002258154,0.0001322964,0.0001857554,0.0005921027,0.0001087519,0.8955269,0.01453768,0.03089924,0.05542353,0.00005687246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05419208,0.006463175,0.8858774,0.00150194,0.001961015,0.0007075777,0.002979533,0.00539829,0.04091901],"genre_scores_gemma":[0.6145648,0.003842337,0.3217945,0.001665526,0.000960049,0.0006993163,0.00841675,0.000273657,0.04778309],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009945697,"threshold_uncertainty_score":0.03327167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502717687875356,"score_gpt":0.2474416259937091,"score_spread":0.2324144491149556,"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."}}