{"id":"W2396496669","doi":"10.1016/j.knosys.2016.05.041","title":"A recommender system of reviewers and experts in reviewing problems","year":2016,"lang":"en","type":"article","venue":"Knowledge-Based Systems","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Information retrieval; Cosine similarity; Search engine indexing; Maintainability; Recommender system; Modularity (biology); Similarity (geometry); Process (computing); Set (abstract data type); Modular design; Point (geometry); Data mining; Data science; Cluster analysis; Artificial intelligence; Software engineering","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":[0.002633343,0.0002796423,0.0008437735,0.00034893,0.00006119304,0.00008615745,0.0006450888,0.0001313839,0.000002266568],"category_scores_gemma":[0.0000803869,0.0001783092,0.0001195627,0.0005364048,0.00004543075,0.0003703196,0.0001563005,0.00008131482,0.00001431448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002411998,"about_ca_system_score_gemma":0.00010454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001708049,"about_ca_topic_score_gemma":0.00003829993,"domain_scores_codex":[0.9968779,0.0007596766,0.001156855,0.0005935393,0.0002357239,0.0003763075],"domain_scores_gemma":[0.9979385,0.0003354639,0.0004332943,0.0009573673,0.0002033885,0.0001320231],"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":[0.00003512669,0.0008116696,0.04493184,0.05799687,0.0002817101,0.00007912231,0.007082832,0.00001933879,0.01227613,0.1521352,0.04404701,0.6803032],"study_design_scores_gemma":[0.005301883,0.0007688488,0.0009464721,0.1542184,0.00006957401,0.0002090631,0.0007406573,0.02906037,0.007891338,0.0004206227,0.7981854,0.00218734],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002541424,0.1960171,0.7786033,0.001134687,0.002724592,0.003407953,0.000009282066,0.0007529043,0.01480872],"genre_scores_gemma":[0.995901,0.0006359254,0.002661739,0.00003247767,0.00007857641,0.0004850905,7.254052e-7,0.00002596423,0.000178529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9933596,"threshold_uncertainty_score":0.7271237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03840272682532439,"score_gpt":0.264934117154804,"score_spread":0.2265313903294796,"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."}}