{"id":"W2912329760","doi":"","title":"Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization","year":2012,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal","funders":"","keywords":"Personalization; Adaptation (eye); Computer science; World Wide Web; Data science; Psychology","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":[0.00692662,0.001394815,0.003129335,0.001204941,0.001196278,0.005771763,0.002305694,0.00225547,0.03034565],"category_scores_gemma":[0.009401516,0.0006898554,0.001358214,0.001646876,0.001117424,0.004795802,0.00195887,0.003741812,0.01027422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117979,"about_ca_system_score_gemma":0.002362811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008617796,"about_ca_topic_score_gemma":0.01330586,"domain_scores_codex":[0.99737,0.001222194,0.0001668723,0.0005060241,0.0005324378,0.0002024314],"domain_scores_gemma":[0.9927135,0.00300965,0.0001706402,0.001636942,0.001801801,0.0006674083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008669872,0.001112482,0.004426708,0.0006771255,0.0005250114,0.0002914803,0.0009804564,0.003732295,0.005132794,0.02306893,0.2857043,0.6734814],"study_design_scores_gemma":[0.0002039052,0.0009037541,0.01383051,0.0007281278,0.0008172247,0.001307495,0.001556323,0.155568,0.009279148,0.05574276,0.7598346,0.0002280194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04883756,0.09081974,0.7362218,0.02325286,0.0350829,0.0006935995,0.001977644,0.003013299,0.0601005],"genre_scores_gemma":[0.2541991,0.05245978,0.4085709,0.003367711,0.0137743,0.0006271311,0.009949803,0.001144572,0.2559067],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03034565,"threshold_uncertainty_score":0.1015163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07442696639436651,"score_gpt":0.2709042795256832,"score_spread":0.1964773131313167,"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."}}