{"id":"W2029237474","doi":"10.1145/1297231.1297264","title":"The keepup recommender system","year":2007,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Recommender system; Computer science; RSS; Perplexity; World Wide Web; Meaning (existential); Isolation (microbiology); Process (computing); Information retrieval; Artificial intelligence; 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":[0.001969997,0.001066833,0.001502835,0.001423941,0.001392765,0.00301229,0.00259441,0.002710175,0.02375725],"category_scores_gemma":[0.007634034,0.0008787161,0.0009793418,0.001676807,0.0002767225,0.003781139,0.002606799,0.002478367,0.02999552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003870512,"about_ca_system_score_gemma":0.0009815445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006339237,"about_ca_topic_score_gemma":0.009925616,"domain_scores_codex":[0.9980756,0.0004534734,0.0001625425,0.0003729069,0.0008141351,0.0001213049],"domain_scores_gemma":[0.9964356,0.000854297,0.0001566531,0.001227655,0.001031957,0.0002936915],"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":[0.0004725694,0.000317009,0.004364284,0.0007465071,0.0003639913,0.0005286112,0.0003521515,0.008057619,0.01024798,0.01720383,0.4255833,0.5317621],"study_design_scores_gemma":[0.0001424847,0.0002659179,0.002052666,0.0001089135,0.000277796,0.001239443,0.0001431241,0.08581679,0.01053657,0.008464349,0.8907248,0.0002271553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01478061,0.00655284,0.8259366,0.003549268,0.002340913,0.001449777,0.009423778,0.06808072,0.06788549],"genre_scores_gemma":[0.09911038,0.005850196,0.6934155,0.002945315,0.001250353,0.001064249,0.0228519,0.003255848,0.1702563],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02375725,"threshold_uncertainty_score":0.07947594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126361084860902,"score_gpt":0.2451653678644476,"score_spread":0.2325292593783574,"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."}}