{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001232902,0.0007801593,0.0007138504,0.0006476028,0.0005856212,0.001023739,0.001393159,0.001461285,0.01033955],"category_scores_gemma":[0.004400436,0.0005012691,0.0005059325,0.0004019996,0.0001239414,0.001215171,0.0009527894,0.001418378,0.008360991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003226385,"about_ca_system_score_gemma":0.0009581111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005744911,"about_ca_topic_score_gemma":0.01059955,"domain_scores_codex":[0.9993782,0.0001381539,0.00005333408,0.0001577845,0.0002204211,0.00005199828],"domain_scores_gemma":[0.9983885,0.0003756375,0.0001155743,0.0003200063,0.0004687237,0.0003315451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001314858,0.001419082,0.02192231,0.0008562607,0.0003947953,0.0005657309,0.000519258,0.007787908,0.01983243,0.005437498,0.3095733,0.6303766],"study_design_scores_gemma":[0.0006105343,0.0008438281,0.01128109,0.0001576814,0.0004103596,0.001455677,0.0002601682,0.3369576,0.0272198,0.005853458,0.6147197,0.0002301139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1019673,0.006397008,0.5274658,0.006835659,0.00249385,0.002607546,0.0117523,0.2686269,0.07185379],"genre_scores_gemma":[0.401978,0.002342437,0.4498257,0.003001972,0.0005788933,0.0009045308,0.01905262,0.002604496,0.1197114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01033955,"threshold_uncertainty_score":0.03458929,"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."}}