{"id":"W4408855808","doi":"10.1097/acm.0000000000006049","title":"Individualized Learning Plans for Active Lifelong Learning","year":2025,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Innovations in Medical Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Lifelong learning; Set (abstract data type); Active learning (machine learning); Plan (archaeology); Medical education; Computer science; Psychology; Knowledge management; Pedagogy; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00313967,0.0004787322,0.000245622,0.0007620455,0.00102639,0.002707437,0.001411577,0.001556833,0.02402617],"category_scores_gemma":[0.01136352,0.0002083601,0.0004669605,0.0005541663,0.001822543,0.002723472,0.003256705,0.002486591,0.004571952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001908114,"about_ca_system_score_gemma":0.004777197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001034978,"about_ca_topic_score_gemma":0.00167917,"domain_scores_codex":[0.9977844,0.001204394,0.0001103836,0.0001767151,0.0006241155,0.00009996472],"domain_scores_gemma":[0.9962328,0.001803324,0.0003792043,0.0005413061,0.000524542,0.0005187601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006058735,0.0002758548,0.001230945,0.0005576437,0.000013979,0.0001635971,0.001810457,0.003696487,0.0003793924,0.561271,0.0344153,0.3961247],"study_design_scores_gemma":[0.00008121917,0.0002325445,0.002239662,0.001930226,0.00002792487,0.0004841503,0.00170102,0.01106615,0.0007439464,0.6072534,0.3741934,0.00004639329],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02048378,0.009448227,0.5358751,0.03856304,0.001830242,0.002385331,0.0004776593,0.001370794,0.3895659],"genre_scores_gemma":[0.3229536,0.005734484,0.6262422,0.004489501,0.0005110523,0.004151977,0.0007558043,0.0001830536,0.03497838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02402617,"threshold_uncertainty_score":0.08037549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004442340978643,"score_gpt":0.4069504066640026,"score_spread":0.3769059832542162,"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."}}