{"id":"W2583976214","doi":"10.1145/3018661.3018692","title":"Document Retrieval Model Through Semantic Linking","year":2017,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Information retrieval; Explicit semantic analysis; Complement (music); Graph; Semantic similarity; Probabilistic logic; Natural language processing; Semantic computing; Artificial intelligence; Semantic technology; Theoretical computer science; Semantic Web","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":[0.002033348,0.0006953573,0.0008698749,0.003401583,0.0007140035,0.002676442,0.002084034,0.001430794,0.003375676],"category_scores_gemma":[0.006116629,0.0003832801,0.001620056,0.003352199,0.0009473559,0.00740018,0.001466901,0.00107435,0.00233739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318187,"about_ca_system_score_gemma":0.001083845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002381744,"about_ca_topic_score_gemma":0.001413204,"domain_scores_codex":[0.9981365,0.0006448713,0.0001400744,0.0004329052,0.0005513144,0.00009439392],"domain_scores_gemma":[0.9982389,0.001014032,0.0001739719,0.0002567027,0.0002626645,0.00005375145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002584398,0.0002322562,0.001316428,0.0004885148,0.0001740662,0.0004164082,0.001093744,0.3277193,0.008962981,0.4647858,0.008302249,0.1862499],"study_design_scores_gemma":[0.00004348149,0.00008670713,0.0002642922,0.00002953791,0.00007991683,0.0002936097,0.00006265527,0.8651156,0.002155591,0.1193348,0.01248527,0.00004857163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01232381,0.0006679345,0.9789183,0.0006077252,0.00006394811,0.0001221201,0.0003233165,0.0009861556,0.005986621],"genre_scores_gemma":[0.4625645,0.00238784,0.5111164,0.00046475,0.0004289128,0.0007776465,0.002105228,0.0004105977,0.01974416],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003401583,"threshold_uncertainty_score":0.01129276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05264179382538973,"score_gpt":0.3070733012277153,"score_spread":0.2544315074023255,"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."}}