{"id":"W7046105781","doi":"","title":"CBRecSys 2016. New Trends on Content-Based Recommender Systems:Proceedings of the 3rd Workshop on New Trends on Content-Based Recommender Systems co-located with 10th ACM Conference on Recommender Systems (RecSys 2016)","year":2016,"lang":"en","type":"article","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Centres of Excellence","keywords":"Recommender system; Metadata; Collaborative filtering; Key (lock); Filter (signal processing)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001355354,0.001762821,0.002125754,0.002213114,0.0006904427,0.0007280429,0.004196469,0.0008776633,0.0002310572],"category_scores_gemma":[0.0001306307,0.001132453,0.0007117293,0.002297046,0.0002720891,0.001195227,0.0003601835,0.001137138,0.0001289372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497724,"about_ca_system_score_gemma":0.0008497883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005254101,"about_ca_topic_score_gemma":0.0001478856,"domain_scores_codex":[0.9915086,0.0004844531,0.001947127,0.00241811,0.001906935,0.001734752],"domain_scores_gemma":[0.9911174,0.001072432,0.002950096,0.002832542,0.0009249509,0.001102593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002799131,0.001240686,0.005279428,0.0003797201,0.001029783,0.00008017267,0.0009514159,0.0006095951,0.001479721,0.06377123,0.8933069,0.0290723],"study_design_scores_gemma":[0.066468,0.02817624,0.01008107,0.08349013,0.001453761,0.000318267,0.02816143,0.02541518,0.04866546,0.0003190936,0.6935909,0.01386042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1856608,0.001963386,0.2017572,0.1434497,0.03476146,0.01858533,0.002553326,0.01227927,0.3989896],"genre_scores_gemma":[0.9243553,0.000101053,0.0009545452,0.001706227,0.0004028679,0.0001128274,0.0001372385,0.0002461779,0.07198377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7386945,"threshold_uncertainty_score":0.9995118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08508226012719619,"score_gpt":0.2531287112971266,"score_spread":0.1680464511699304,"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."}}