{"id":"W646176396","doi":"10.1007/s10115-015-0892-x","title":"Continuous similarity search for evolving queries","year":2015,"lang":"en","type":"article","venue":"Knowledge and Information Systems","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; British Columbia Institute of Technology","funders":"","keywords":"Multiset; Nearest neighbor search; Computer science; Set (abstract data type); Similarity (geometry); Data stream; Data mining; Hash function; Result set; Theoretical computer science; Information retrieval; Mathematics; Artificial intelligence","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":[0.0006997318,0.00008889096,0.0001553977,0.0001096361,0.0001175802,0.0003998273,0.0002179436,0.00005867369,4.937071e-7],"category_scores_gemma":[0.0001534116,0.00007587548,0.00002649098,0.0001892815,0.00003016766,0.006316911,0.0001274997,0.00006437496,0.00003130276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004413642,"about_ca_system_score_gemma":0.00008826843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001571452,"about_ca_topic_score_gemma":8.887407e-7,"domain_scores_codex":[0.9992782,0.00003541756,0.0002823713,0.0001000246,0.0001350174,0.0001690089],"domain_scores_gemma":[0.9987653,0.00007732426,0.00007885102,0.0002028884,0.000769362,0.0001062207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004930304,0.00005885249,0.002538711,0.0008791144,0.00003498735,0.000001592663,0.02747139,0.00003495727,0.0001723652,0.5570451,0.07779042,0.3339232],"study_design_scores_gemma":[0.0005787567,0.0002426492,0.000226282,0.00007354104,0.000003398689,0.00002471202,0.00110683,0.07047516,0.006280756,0.0008270815,0.9199483,0.0002125566],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005405698,0.001714449,0.9735508,0.00007481598,0.000319481,0.0004275684,0.0000065299,0.0002476264,0.02311818],"genre_scores_gemma":[0.9807817,0.00008734138,0.01808689,0.000137507,0.0001463427,0.00009671382,0.0000161076,0.00000630566,0.0006411145],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9802411,"threshold_uncertainty_score":0.4579608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03910859700177923,"score_gpt":0.3103359652263479,"score_spread":0.2712273682245687,"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."}}