{"id":"W3021792233","doi":"10.1145/3440755","title":"Evolution of Semantic Similarity—A Survey","year":2021,"lang":"en","type":"article","venue":"ACM Computing Surveys","topic":"Topic Modeling","field":"Computer Science","cited_by":281,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Semantic similarity; Similarity (geometry); Semantic computing; Field (mathematics); Natural language; Open research; Semantics (computer science); Strengths and weaknesses; Natural language understanding","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":[0.004251526,0.0009379275,0.002044269,0.009730139,0.0008492635,0.005013178,0.002066736,0.001677228,0.003443049],"category_scores_gemma":[0.01840182,0.0008003798,0.00114108,0.01266281,0.001722562,0.01221627,0.002485662,0.001785815,0.001766172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002027616,"about_ca_system_score_gemma":0.001764487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002374003,"about_ca_topic_score_gemma":0.001347349,"domain_scores_codex":[0.9954259,0.000997416,0.0004939847,0.001147851,0.001765591,0.0001692958],"domain_scores_gemma":[0.989225,0.006573655,0.0006124779,0.001191091,0.002130132,0.0002676721],"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":[0.00008821595,0.0001266123,0.007892082,0.002075478,0.0001497737,0.00008897273,0.0005095289,0.005097257,0.0009662251,0.09305164,0.0101629,0.8797913],"study_design_scores_gemma":[0.00003334989,0.0003803133,0.01927441,0.002392288,0.0002888713,0.002635614,0.002151858,0.09958244,0.004810144,0.4270085,0.4412337,0.0002086417],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03389379,0.6764765,0.2451459,0.006067893,0.001069599,0.0001921098,0.001122306,0.0009298247,0.03510216],"genre_scores_gemma":[0.2969955,0.5122386,0.1733301,0.001209006,0.003599612,0.0003092073,0.003185789,0.0005612049,0.008570908],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009730139,"threshold_uncertainty_score":0.02248448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04743587048223354,"score_gpt":0.2804255950414988,"score_spread":0.2329897245592652,"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."}}