{"id":"W2109830295","doi":"10.1162/coli.2006.32.3.379","title":"Similarity of Semantic Relations","year":2006,"lang":"en","type":"article","venue":"Computational Linguistics","topic":"Topic Modeling","field":"Computer Science","cited_by":179,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"University of Waterloo; Johns Hopkins University","keywords":"Analogy; Word (group theory); Similarity (geometry); Vector space model; Semantic similarity; Relation (database); Vector space; Latent semantic analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002787363,0.0006694928,0.0007959002,0.01089845,0.001171668,0.004912937,0.001128977,0.001222455,0.01031445],"category_scores_gemma":[0.02974747,0.000333848,0.001402156,0.007791879,0.002504809,0.009063483,0.003523278,0.001188519,0.00214861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466735,"about_ca_system_score_gemma":0.0009266726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001424476,"about_ca_topic_score_gemma":0.001045778,"domain_scores_codex":[0.9922525,0.002154833,0.0009495632,0.001615369,0.002712154,0.000315489],"domain_scores_gemma":[0.9907351,0.004775841,0.0009562263,0.001722048,0.001557844,0.0002530577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004952037,0.0002559614,0.03424416,0.001463902,0.000790783,0.0005878806,0.007331467,0.006190897,0.01239439,0.5322224,0.01275056,0.3912723],"study_design_scores_gemma":[0.00005771829,0.0002078196,0.0295562,0.000298174,0.0002556208,0.001243078,0.004192665,0.02487789,0.003406513,0.8615936,0.07420375,0.0001069845],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.333966,0.01042654,0.48856,0.002946021,0.0008200454,0.001115949,0.01161031,0.00169628,0.1488588],"genre_scores_gemma":[0.8810795,0.002110034,0.1001165,0.0004212104,0.0003368448,0.0006472223,0.009251874,0.0002061431,0.005830756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01089845,"threshold_uncertainty_score":0.03450531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936146345015635,"score_gpt":0.2584151920057683,"score_spread":0.239053728555612,"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."}}