{"id":"W3124075878","doi":"","title":"Improving Social Recommender Systems","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Recommender system; Information overload; Computer science; World Wide Web; Internet privacy; Information retrieval; Data science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00169391,0.0001710648,0.0002373614,0.0001480623,0.0007574495,0.0001967117,0.0009108491,0.0001013913,0.000003277139],"category_scores_gemma":[0.00001365305,0.0001466743,0.0001408002,0.0002301587,0.00002487444,0.0006473929,0.0001308989,0.001381441,0.00002149307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007988447,"about_ca_system_score_gemma":0.001175326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002479132,"about_ca_topic_score_gemma":0.00003450489,"domain_scores_codex":[0.996913,0.0001700469,0.0003856225,0.0002648582,0.0003119652,0.001954489],"domain_scores_gemma":[0.9992638,0.00003087757,0.0002673415,0.0002560473,0.0001001194,0.00008179175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006243605,0.00007519472,0.0007043228,0.00001348848,0.0001350268,0.00002575728,0.000833358,0.000003884168,0.0004347423,0.8885067,0.008840156,0.1004211],"study_design_scores_gemma":[0.00573717,0.003004357,0.003406483,0.0001720193,0.00008466439,0.07804358,0.006466582,0.03367635,0.001675656,0.6539828,0.209727,0.004023355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008198997,0.001821165,0.9839788,0.001545676,0.0009183278,0.0001425871,4.451242e-7,0.0002873926,0.003106584],"genre_scores_gemma":[0.9950679,0.0009161797,0.001840728,0.0001353228,0.0006801534,0.00001424,5.845062e-7,0.00001961507,0.001325266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9868689,"threshold_uncertainty_score":0.6001752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976591005859053,"score_gpt":0.237571945015688,"score_spread":0.2178060349570975,"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."}}