{"id":"W4398160813","doi":"10.1609/aaaiss.v3i1.31270","title":"Toward Autonomy: Metacognitive Learning for Enhanced AI Performance","year":2024,"lang":"en","type":"article","venue":"Proceedings of the AAAI Symposium Series","topic":"Ferroelectric and Negative Capacitance Devices","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Metacognition; Cognition; Autonomy; Psychology; Computer science; Cognitive science; Cognitive psychology; Artificial intelligence","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":[0.0001463684,0.0001934717,0.0002299222,0.00008305992,0.0001159873,0.0001022292,0.0002333043,0.00006439105,0.00001331162],"category_scores_gemma":[0.00005477819,0.0001445715,0.0001290048,0.0003777801,0.00009599639,0.0009314691,0.00003766796,0.0002496908,0.00001057391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008466727,"about_ca_system_score_gemma":0.00004233494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.803755e-7,"about_ca_topic_score_gemma":3.218755e-7,"domain_scores_codex":[0.999182,0.000002939601,0.0002150128,0.000197948,0.0001319944,0.0002700562],"domain_scores_gemma":[0.9995745,0.00006471446,0.00004871757,0.00004576226,0.0002343275,0.00003197908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001044846,0.00001198538,0.0003341083,0.003909061,0.00035174,2.385283e-7,0.01297301,0.0008594824,0.9668468,0.008540402,0.00130931,0.004759359],"study_design_scores_gemma":[0.0001168006,0.000159872,0.0001679309,0.0003516648,0.00008891954,0.000006402453,0.0006312845,0.01820469,0.9631198,0.0006243074,0.01632271,0.0002056309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482802,0.002126212,0.001047371,0.001393697,0.000867129,0.0004702187,0.00001454333,0.0007435923,0.04505702],"genre_scores_gemma":[0.9953687,0.0003844762,0.0004159039,0.00005005315,0.0001334805,0.0001799162,0.000001886824,0.00004545729,0.003420077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04708854,"threshold_uncertainty_score":0.5895454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009139621173747512,"score_gpt":0.2068981062068208,"score_spread":0.1977584850330733,"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."}}