{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003106176,0.000043486,0.00004915744,0.000045509,0.0002979987,0.00006139153,0.0005490346,0.00001098014,0.0004808166],"category_scores_gemma":[0.00004987765,0.00004042744,0.00002428202,0.0002736227,0.000007241034,0.0001725053,0.0003757235,0.0001720338,0.0001217794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006759707,"about_ca_system_score_gemma":0.00002773191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002668059,"about_ca_topic_score_gemma":0.000006298468,"domain_scores_codex":[0.9992257,0.0001493958,0.00007979807,0.0001991244,0.0002320529,0.0001139367],"domain_scores_gemma":[0.9995189,0.00006959351,0.00005512112,0.0003055563,0.00001924556,0.00003163575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001831587,0.00006642793,0.005661996,0.000001102694,0.00001047416,0.000003632063,0.0008920886,0.000362645,0.0001450495,0.8410312,0.01979764,0.1320259],"study_design_scores_gemma":[0.0001632412,0.00006098241,0.04011282,3.196592e-7,0.000001840044,0.000005913277,0.0002481401,0.6268627,0.00003747563,0.004901871,0.3274802,0.0001244723],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005934643,0.00002490357,0.8624495,0.006208116,0.0002302366,0.00004692737,0.00000155177,0.0002430435,0.1302023],"genre_scores_gemma":[0.9557816,0.000002115333,0.02865792,0.001725407,0.00003498576,0.00004492472,0.00002554032,0.000004814256,0.01372266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9551882,"threshold_uncertainty_score":0.5264605,"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."}}