{"id":"W2029876542","doi":"10.1016/j.jpdc.2005.07.002","title":"Computing nearest neighbors in real time","year":2005,"lang":"en","type":"article","venue":"Journal of Parallel and Distributed Computing","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; k-nearest neighbors algorithm; Computer graphics (images); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017449,0.0006266689,0.00151724,0.001386465,0.001506119,0.001930332,0.002004144,0.001096372,0.004154628],"category_scores_gemma":[0.01035792,0.0007729421,0.000465745,0.001710424,0.0009190342,0.004341825,0.001226208,0.0008690474,0.001358675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006610511,"about_ca_system_score_gemma":0.001033811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005916362,"about_ca_topic_score_gemma":0.01004875,"domain_scores_codex":[0.9980924,0.0003840661,0.000175597,0.0004561472,0.0007213207,0.0001705312],"domain_scores_gemma":[0.9950674,0.002474832,0.0003595669,0.000996744,0.0008600218,0.0002415645],"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":[0.002052624,0.00045935,0.007454447,0.0002081367,0.0002069262,0.0003235906,0.0003007909,0.4352207,0.009360278,0.0261008,0.01193731,0.5063751],"study_design_scores_gemma":[0.0000382109,0.00006953703,0.0004045875,0.000007194069,0.00002282837,0.00009820041,0.00007525144,0.9819452,0.002358478,0.01319197,0.001776425,0.00001208493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1106943,0.001549738,0.8791245,0.0005484727,0.0006446355,0.0000998943,0.0003154149,0.002487913,0.004535061],"genre_scores_gemma":[0.662289,0.0004043858,0.3302677,0.0001399854,0.000176177,0.00007294681,0.0006768869,0.0002245442,0.005748515],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005916362,"threshold_uncertainty_score":0.01389861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007143575775644982,"score_gpt":0.2239568747499232,"score_spread":0.2168132989742783,"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."}}