{"id":"W6891919603","doi":"10.48550/arxiv.cs/0608100","title":"Similarity of Semantic Relations","year":2006,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Analogy; Word (group theory); Similarity (geometry); Vector space model; Relation (database); Vector space; Semantic similarity; Singular value decomposition","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":[0.002978799,0.0007973809,0.0008901313,0.01264111,0.001213093,0.005140414,0.001260725,0.001347575,0.01010365],"category_scores_gemma":[0.02895384,0.0003775258,0.001641904,0.008964465,0.002495554,0.00978462,0.003659956,0.001357102,0.002369157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671434,"about_ca_system_score_gemma":0.001037891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001780124,"about_ca_topic_score_gemma":0.001311476,"domain_scores_codex":[0.9920352,0.002092804,0.000920528,0.00184833,0.002772721,0.0003304488],"domain_scores_gemma":[0.9905694,0.004943992,0.0009982713,0.001671901,0.001543987,0.0002724474],"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":[0.0005269747,0.0003255424,0.03999227,0.001627669,0.0009124752,0.000567032,0.006860924,0.008023463,0.01214036,0.482197,0.01627072,0.4305556],"study_design_scores_gemma":[0.00006299753,0.0002198985,0.03208359,0.0003471718,0.0002992111,0.001181904,0.003836393,0.03535451,0.003446253,0.8452269,0.07781884,0.0001223352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3090981,0.01181319,0.5282735,0.003119189,0.0008312369,0.00119231,0.0141562,0.00201421,0.129502],"genre_scores_gemma":[0.8681411,0.002521442,0.1090741,0.0004881498,0.0004114073,0.0007814058,0.01206162,0.0002643695,0.006256522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01264111,"threshold_uncertainty_score":0.03380007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07825484306584243,"score_gpt":0.1825881802614777,"score_spread":0.1043333371956353,"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."}}