{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01430527,0.002020759,0.003884384,0.004579178,0.001223626,0.00737705,0.004638551,0.005102594,0.04655496],"category_scores_gemma":[0.01883765,0.001746598,0.001480063,0.006246618,0.001481329,0.01313803,0.004773806,0.007076979,0.03851253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002395607,"about_ca_system_score_gemma":0.003099865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009222558,"about_ca_topic_score_gemma":0.01416427,"domain_scores_codex":[0.9926972,0.002265422,0.0005961544,0.001265318,0.002712655,0.0004631894],"domain_scores_gemma":[0.9835312,0.005650897,0.0006619663,0.002883373,0.005028624,0.002243876],"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":[0.000352245,0.0003156856,0.0008554918,0.001503213,0.0001489625,0.0001651551,0.0004331727,0.001775154,0.003919468,0.01497674,0.4826888,0.4928658],"study_design_scores_gemma":[0.0000893525,0.0002435921,0.002344385,0.0008789083,0.00009396804,0.0005268614,0.0003534149,0.01104585,0.00245056,0.02150067,0.960342,0.0001304394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01105016,0.4357444,0.4054163,0.04380685,0.02982148,0.0009473533,0.005783463,0.01571699,0.05171302],"genre_scores_gemma":[0.04427626,0.2487107,0.3793664,0.006470101,0.0203558,0.0008731717,0.0344815,0.00623155,0.2592346],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04655496,"threshold_uncertainty_score":0.1557418,"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."}}