{"id":"W2371354481","doi":"","title":"Optimizing Method for Ontology Mapping Based on Similarity Computation","year":2008,"lang":"en","type":"article","venue":"Jisuanji gongcheng","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Ontology; Computation; Similarity (geometry); Data mining; Information retrieval; Theoretical computer science; Algorithm; Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002750948,0.000155555,0.0001992344,0.0001515831,0.0004167415,0.00003766626,0.0004160455,0.0000855071,0.000002623294],"category_scores_gemma":[0.00006179087,0.0001637338,0.0001105333,0.0003623203,0.00003448921,0.0002108277,0.00007291415,0.0001541511,0.000006223827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009322968,"about_ca_system_score_gemma":0.00007903075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006755682,"about_ca_topic_score_gemma":0.000001668884,"domain_scores_codex":[0.99874,0.00006326992,0.0002733404,0.0004756147,0.0001862368,0.0002615485],"domain_scores_gemma":[0.9985877,0.0007051867,0.0001442581,0.0003162504,0.0001721046,0.00007453237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002196757,0.000241107,0.0001164675,0.00003614926,0.00002136787,0.00001173976,0.0006131037,0.5704973,0.001298961,0.3700891,0.001347699,0.05570508],"study_design_scores_gemma":[0.0003552112,0.00008522963,0.0007412806,0.0000122718,0.000003405549,0.00001489229,0.00000924182,0.9591162,0.001489006,0.03166572,0.006324836,0.0001826994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006902026,0.00001670225,0.994145,0.003078389,0.00009471917,0.0004484578,0.000005293314,0.000468619,0.001052608],"genre_scores_gemma":[0.221168,0.000001946701,0.7770076,0.001548527,0.00005211312,0.0001532557,0.00002086758,0.00001175094,0.00003597175],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3886189,"threshold_uncertainty_score":0.6676872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07780568782515306,"score_gpt":0.3661050605442266,"score_spread":0.2882993727190735,"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."}}