{"id":"W2062168656","doi":"10.1109/aiccsa.2007.370734","title":"HELP: A Recommender System to Locate Expertise in Organizational Memories","year":2007,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Recommender system; Key (lock); Collaborative filtering; Order (exchange); Contrast (vision); Case-based reasoning; Knowledge management; World Wide Web; Information retrieval; Artificial intelligence","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":[0.0007058338,0.0001242403,0.0001662695,0.0002508078,0.00006171521,0.0001219608,0.0005235773,0.00006020783,0.00002555246],"category_scores_gemma":[0.0000198649,0.0001056024,0.00002461701,0.0008117004,0.000007630912,0.0002976976,0.0002150489,0.00006524508,0.00007443987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002107964,"about_ca_system_score_gemma":0.00003679308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002567646,"about_ca_topic_score_gemma":0.0003649695,"domain_scores_codex":[0.998768,0.00004208692,0.0003697438,0.0003209323,0.000207563,0.0002917265],"domain_scores_gemma":[0.9993007,0.0000465815,0.00004662235,0.0003871258,0.00009881319,0.0001202173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002058011,0.0002281189,0.02183929,0.0001279145,0.00003389635,0.000166937,0.009334203,0.0000345187,0.001645253,0.7593381,0.09759299,0.1096382],"study_design_scores_gemma":[0.004366568,0.001226376,0.05460655,0.001578966,0.00001606778,0.001481219,0.01510237,0.09752119,0.5507028,0.01234799,0.2556538,0.005396098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002862766,0.00005491705,0.9735929,0.002846902,0.0004538631,0.000251411,4.267591e-7,0.0005433754,0.01939343],"genre_scores_gemma":[0.922089,0.000001672852,0.07614889,0.00103073,0.00007083848,0.00002449103,0.000001154803,0.00001107884,0.0006221102],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9192263,"threshold_uncertainty_score":0.4306339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02371434803838136,"score_gpt":0.2575644237097692,"score_spread":0.2338500756713879,"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."}}