{"id":"W4401009456","doi":"10.1007/s10462-024-10853-9","title":"Knowledge transfer in lifelong machine learning: a systematic literature review","year":2024,"lang":"en","type":"article","venue":"Artificial Intelligence Review","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Lifelong learning; Knowledge transfer; Transfer of learning; Artificial intelligence; Systematic review; Machine learning; Knowledge management; Psychology; MEDLINE; Pedagogy; Chemistry","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":[0.01414305,0.001129887,0.004563943,0.013504,0.0007911616,0.004055582,0.002439264,0.002225152,0.005541331],"category_scores_gemma":[0.07406946,0.0008066765,0.004358048,0.01173818,0.001207673,0.005419542,0.002818685,0.001863765,0.0005876978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004338776,"about_ca_system_score_gemma":0.01739077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00579847,"about_ca_topic_score_gemma":0.0138591,"domain_scores_codex":[0.9902776,0.003994062,0.002762386,0.0008481729,0.001863263,0.0002544559],"domain_scores_gemma":[0.9041204,0.08081933,0.00699428,0.001367208,0.00612678,0.0005720393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001456655,0.0001038396,0.001510602,0.6923883,0.004064528,0.0001422322,0.0006368167,0.0005993692,0.0001298628,0.00198618,0.004759749,0.2935329],"study_design_scores_gemma":[0.00009218469,0.0002850996,0.004097375,0.9298715,0.01088148,0.0003553747,0.0008644327,0.0005762621,0.0002673351,0.002513919,0.0501255,0.00006939023],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001065662,0.9964557,0.0006939726,0.000792024,0.00009775253,0.0001856245,0.0002143763,0.00001488385,0.0004799077],"genre_scores_gemma":[0.01981982,0.9757817,0.002245561,0.0008852127,0.0001370731,0.0006283288,0.0003305239,0.00001123319,0.0001604775],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01414305,"threshold_uncertainty_score":0.0747965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06351313169488046,"score_gpt":0.3431309784109463,"score_spread":0.2796178467160658,"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."}}