{"id":"W1986025018","doi":"10.1145/2645710.2645750","title":"Recommending user generated item lists","year":2014,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Institute for Computing, Information and Cognitive Systems","keywords":"Computer science; Recommender system; Information retrieval; Ranking (information retrieval); Focus (optics); World Wide Web; Personalization","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003194808,0.001132438,0.001593152,0.003888778,0.0006606351,0.002112486,0.002972112,0.002113139,0.003064686],"category_scores_gemma":[0.01640411,0.001024709,0.00108673,0.003778467,0.0004056753,0.003689723,0.0008711486,0.001830858,0.00333104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009411667,"about_ca_system_score_gemma":0.001235686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01122656,"about_ca_topic_score_gemma":0.03315019,"domain_scores_codex":[0.9965985,0.001143977,0.0002328223,0.0007668521,0.001097963,0.0001598468],"domain_scores_gemma":[0.990506,0.004935781,0.0005439605,0.001513256,0.002255549,0.0002455063],"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":[0.001267608,0.001564295,0.05388901,0.001281311,0.001122116,0.0006351904,0.00123256,0.222048,0.01335996,0.02631203,0.04148133,0.6358066],"study_design_scores_gemma":[0.00006503135,0.0002676335,0.005755445,0.0000707599,0.0001538067,0.0004709557,0.0001223021,0.9697521,0.003776222,0.008033747,0.01143083,0.0001011984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07894062,0.001987808,0.9078228,0.0005938974,0.0001184728,0.0004915789,0.002726462,0.002463141,0.004855169],"genre_scores_gemma":[0.4764274,0.001801142,0.4992725,0.000440557,0.0002091262,0.0006042782,0.008788414,0.0002807031,0.01217587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01122656,"threshold_uncertainty_score":0.02232242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020287194969394,"score_gpt":0.2475857561825046,"score_spread":0.2273828842328106,"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."}}