{"id":"W1980418511","doi":"10.1109/icde.2007.367933","title":"Evaluating Proximity Relations Under Uncertainty","year":2007,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Relation (database); Position (finance); Object (grammar); Computer science; Point (geometry); Process (computing); Data mining; Algorithm; Theoretical computer science; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007577051,0.001038468,0.001924091,0.005518002,0.001453271,0.004139812,0.00195798,0.002460397,0.001656498],"category_scores_gemma":[0.07862502,0.0007222979,0.000924729,0.004023881,0.002248883,0.007887789,0.004601526,0.001432476,0.0003279856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002153831,"about_ca_system_score_gemma":0.001113638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005653166,"about_ca_topic_score_gemma":0.003048052,"domain_scores_codex":[0.989736,0.003224185,0.0007700506,0.002233487,0.003534623,0.0005017017],"domain_scores_gemma":[0.9420113,0.04833639,0.003946329,0.002714108,0.002278486,0.0007133981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007089167,0.0001202761,0.03159944,0.0003311837,0.0002364481,0.0005142154,0.001141271,0.7331229,0.002997975,0.05718876,0.001314469,0.1707242],"study_design_scores_gemma":[0.00001385206,0.0001201451,0.003821866,0.00003435566,0.00003631032,0.0002865025,0.0003262305,0.9433509,0.001702618,0.0492319,0.001039539,0.00003580009],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1581777,0.001344531,0.8368769,0.0004449513,0.00003714425,0.0001314176,0.0004005282,0.0003888275,0.00219795],"genre_scores_gemma":[0.8298075,0.0005741802,0.1679127,0.00006355501,0.0001101799,0.0001487962,0.0006392422,0.00007353116,0.0006704001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007577051,"threshold_uncertainty_score":0.04007173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0748826486360854,"score_gpt":0.3539822720212371,"score_spread":0.2790996233851517,"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."}}