{"id":"W1979325497","doi":"10.4018/jswis.2006070104","title":"Information Retrieval by Semantic Similarity","year":2006,"lang":"en","type":"article","venue":"International Journal on Semantic Web and Information Systems","topic":"Topic Modeling","field":"Computer Science","cited_by":228,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Semantic similarity; Computer science; Information retrieval; WordNet; Explicit semantic analysis; Semantic integration; Semantic computing; Similarity (geometry); Ontology; Vector space model; Semantic search; Natural language processing; Artificial intelligence; Semantic technology; Semantic Web; Image (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007559382,0.000150836,0.0001692191,0.0004136802,0.0001718986,0.002032687,0.0005960799,0.00009354486,0.000007727851],"category_scores_gemma":[0.00008001731,0.0001300019,0.000061483,0.0001574756,0.00002179713,0.009726948,0.0001010195,0.0002551923,0.0001602656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001285916,"about_ca_system_score_gemma":0.00008606207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006747268,"about_ca_topic_score_gemma":7.385891e-7,"domain_scores_codex":[0.9976598,0.00005846331,0.0009398059,0.00008951365,0.001054707,0.0001977131],"domain_scores_gemma":[0.9985341,0.00006401098,0.0005526837,0.000191093,0.0005645287,0.00009360316],"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":[0.0002019443,0.0001970584,0.006006718,0.0002458449,0.0002858906,0.00003947298,0.003354565,0.02440767,0.001223372,0.8423129,0.077663,0.04406162],"study_design_scores_gemma":[0.001436617,0.00008817667,0.001719922,0.0001645249,0.000008507805,0.000839959,0.0002490401,0.6830225,0.0003226599,0.00105141,0.3108005,0.0002961661],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1273011,0.0001319156,0.8496752,0.004048062,0.004870974,0.0002695213,0.00003517148,0.0001569662,0.01351103],"genre_scores_gemma":[0.9978134,0.00008318122,0.0005449712,0.001072067,0.0003123441,0.000002731513,0.00004386477,0.000003570825,0.0001238538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8705123,"threshold_uncertainty_score":0.9990033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008796478971780134,"score_gpt":0.2300101662255508,"score_spread":0.2212136872537707,"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."}}