{"id":"W3034352268","doi":"10.48550/arxiv.1911.09704","title":"A Conceptual Framework for Lifelong Learning","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Forgetting; Lifelong learning; Computer science; Variety (cybernetics); Transfer of learning; Perspective (graphical); Mechanism (biology); Task (project management); Inductive transfer; Cognitive science; Conceptual framework; Artificial intelligence; Transfer of training; Knowledge management; Human–computer interaction; Robot learning; Cognitive psychology; Epistemology; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030163,0.0007689683,0.0004800956,0.002020034,0.001399247,0.003114832,0.002912166,0.002034081,0.005904432],"category_scores_gemma":[0.005497436,0.0003825336,0.0007827948,0.00148577,0.006706061,0.008769686,0.003209587,0.002875813,0.001121457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001950454,"about_ca_system_score_gemma":0.001594308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002522653,"about_ca_topic_score_gemma":0.002119835,"domain_scores_codex":[0.9986737,0.0005282417,0.00009052117,0.0003981595,0.0002048031,0.0001047394],"domain_scores_gemma":[0.9968609,0.001360056,0.00033191,0.0005355185,0.0004524105,0.0004592649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005205435,0.00001525818,0.0001828245,0.00005079585,0.000007003569,0.00003506584,0.0002991651,0.002953479,0.0001351053,0.9852107,0.0009935694,0.01011178],"study_design_scores_gemma":[0.000007594312,0.00002446828,0.0001431985,0.00003844778,0.000005060683,0.00007540607,0.0001178511,0.0175315,0.0001227298,0.9591194,0.0228033,0.00001100049],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004985773,0.001989418,0.9700707,0.003581786,0.0001228801,0.00009831767,0.0001922074,0.0002306836,0.01872813],"genre_scores_gemma":[0.4143566,0.002935371,0.5636883,0.001657795,0.0006346998,0.001177038,0.0006927779,0.0002114482,0.01464593],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005904432,"threshold_uncertainty_score":0.01975232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003688359967813,"score_gpt":0.2146848974623661,"score_spread":0.1143160614655847,"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."}}