{"id":"W2088772104","doi":"10.1145/2063576.2063879","title":"Recommending citations with translation model","year":2011,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pratt and Whitney Canada","keywords":"Computer science; Citation; Bridge (graph theory); Translation (biology); Vocabulary; Natural language processing; Information retrieval; Artificial intelligence; World Wide Web; Linguistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003080172,0.00152373,0.002695581,0.007185877,0.001684853,0.002637364,0.00200185,0.003394857,0.005997873],"category_scores_gemma":[0.01688673,0.0006429122,0.002295717,0.009665354,0.0007278236,0.004529855,0.001158117,0.00174297,0.003153672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086274,"about_ca_system_score_gemma":0.002027845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00712329,"about_ca_topic_score_gemma":0.006868636,"domain_scores_codex":[0.9970689,0.001247635,0.000241398,0.0007770153,0.0004894105,0.0001755757],"domain_scores_gemma":[0.9928571,0.004693352,0.0003690128,0.000582578,0.001261288,0.0002365954],"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":[0.0009715409,0.0008845918,0.01434633,0.001240167,0.0007245286,0.0006707335,0.000699152,0.1769468,0.004921978,0.03347825,0.0525193,0.7125967],"study_design_scores_gemma":[0.0001340026,0.0001312551,0.001258425,0.00003911147,0.0002012091,0.0002070148,0.00007179597,0.9686927,0.001493297,0.02232414,0.005392851,0.00005434235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1355797,0.00727838,0.8329781,0.004145051,0.001163306,0.0006674951,0.002130839,0.004420578,0.01163666],"genre_scores_gemma":[0.7390042,0.003853113,0.2246473,0.001122509,0.002027917,0.001012723,0.005281353,0.0004621071,0.02258885],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9928141,"threshold_uncertainty_score":0.02006489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1769830511217303,"score_gpt":0.2633044284310369,"score_spread":0.08632137730930661,"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."}}