{"id":"W2033263268","doi":"10.1109/coginf.2007.4341930","title":"Autolearner: An Autonomic Machine Learning System Based on Concept Algebra","year":2007,"lang":"en","type":"article","venue":"","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Process calculus; Process (computing); Representation (politics); Knowledge representation and reasoning; Cognition; Artificial intelligence; Cognitive model; Object (grammar); Relation (database); Informatics; Human–computer interaction; Theoretical computer science; Programming language; Data mining; Engineering","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":[0.00100017,0.0001789073,0.0001838869,0.0001421857,0.0002525307,0.000161853,0.0005581106,0.00007666919,0.00003567295],"category_scores_gemma":[0.00002914688,0.0001595292,0.00007318096,0.0002888096,0.00003636115,0.0001470951,0.0001292515,0.0003496985,0.0001408408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001070275,"about_ca_system_score_gemma":0.00006158341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006056294,"about_ca_topic_score_gemma":0.0000144011,"domain_scores_codex":[0.9984196,0.0001720524,0.0002503215,0.0005185648,0.0002144947,0.000424962],"domain_scores_gemma":[0.9988523,0.0003876924,0.00009419526,0.0004109098,0.00006818823,0.000186701],"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":[0.00004526627,0.0001591782,0.002923052,0.00001637528,0.00002198195,0.0001233704,0.0005626084,0.1143429,0.0001693774,0.111401,0.0004859123,0.769749],"study_design_scores_gemma":[0.0004231266,0.0003052393,0.003395903,0.0000581976,0.000003498257,0.00001188253,0.00004692615,0.9919426,0.0008740264,0.00002939875,0.002690792,0.0002183441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0273042,0.00005917986,0.9406771,0.0001538017,0.0004629869,0.0001063206,5.157677e-7,0.001526997,0.02970891],"genre_scores_gemma":[0.987615,4.846435e-7,0.01072504,0.0007143234,0.0001858748,0.000001631786,0.000007975837,0.00001568584,0.0007339397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9603108,"threshold_uncertainty_score":0.6505412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168062090331676,"score_gpt":0.2362052671430558,"score_spread":0.2245246462397391,"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."}}