{"id":"W2403947344","doi":"","title":"The Student Advice Recommender Agent: SARA.","year":2015,"lang":"en","type":"article","venue":"International Conference on User Modeling, Adaptation, and Personalization","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Advice (programming); Recommender system; Computer science; World Wide Web; Medical education; Mathematics education; Psychology; Medicine","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":[0.0004244651,0.0001342534,0.00008846752,0.00008802022,0.0002550527,0.0005409438,0.0004978225,0.00004934561,0.00001647236],"category_scores_gemma":[0.00009995464,0.0001057857,0.00003458396,0.0001311522,0.00002946351,0.0004056341,0.00007297606,0.0001309341,0.00002916382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006635002,"about_ca_system_score_gemma":0.0001571906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001105387,"about_ca_topic_score_gemma":0.0001304152,"domain_scores_codex":[0.9986101,0.00009748864,0.0002539965,0.0003038534,0.0005869372,0.0001476501],"domain_scores_gemma":[0.9986628,0.00005998526,0.000126781,0.0001877954,0.0008562705,0.000106367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003307913,0.00009549081,0.001552279,0.000005533553,0.00007017659,0.00000254598,0.01412687,0.1214962,0.000008450505,0.8479111,0.002445662,0.01225265],"study_design_scores_gemma":[0.0003588147,0.00005929877,0.0002186971,0.00002768944,0.000007368155,0.000004353711,0.002207637,0.9692827,0.000001618194,0.01403789,0.01366427,0.0001296675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008580929,0.0001667801,0.9685922,0.0165867,0.0007355738,0.0001014753,0.000005055273,0.0001283452,0.005102967],"genre_scores_gemma":[0.9893625,0.0005319164,0.00512657,0.0009753927,0.0001860519,0.00001224392,0.00005874693,0.00001073817,0.003735851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9807816,"threshold_uncertainty_score":0.5216334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1423915371109932,"score_gpt":0.3452119152686587,"score_spread":0.2028203781576655,"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."}}