{"id":"W2740924709","doi":"10.1145/3068335","title":"DBSCAN Revisited, Revisited","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Database Systems","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":2625,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Alberta","funders":"","keywords":"Computer science; DBSCAN; Data mining; Heuristics; Information retrieval; Algorithm; Artificial intelligence; Cluster analysis","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":[0.02027269,0.001379363,0.002766035,0.007284625,0.002735003,0.01428949,0.006094941,0.005047181,0.005576116],"category_scores_gemma":[0.07993302,0.001349472,0.001376653,0.02133653,0.00722649,0.01425294,0.004312376,0.01246938,0.002477925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007508904,"about_ca_system_score_gemma":0.0070958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02380819,"about_ca_topic_score_gemma":0.02336793,"domain_scores_codex":[0.9756469,0.008321157,0.001247288,0.00279739,0.01113803,0.0008492405],"domain_scores_gemma":[0.9648389,0.01724369,0.0009839458,0.005956223,0.009832587,0.001144631],"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":[0.0005875294,0.0000773709,0.001860643,0.0003581035,0.0001921986,0.0001801117,0.0004659012,0.03215596,0.0005022414,0.4700712,0.110616,0.3829328],"study_design_scores_gemma":[0.0001149713,0.0001209845,0.0007180002,0.0003255919,0.00007723065,0.0009507195,0.0008897463,0.2602594,0.004560767,0.5548252,0.1770125,0.0001449492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02425857,0.06059712,0.7293007,0.1236185,0.00963214,0.0001707081,0.001193943,0.004991226,0.04623705],"genre_scores_gemma":[0.3181241,0.02714698,0.6015165,0.0228382,0.005715937,0.0002135717,0.001451698,0.001684653,0.02130829],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02380819,"threshold_uncertainty_score":0.1072135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03953632886572851,"score_gpt":0.2875278022523509,"score_spread":0.2479914733866224,"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."}}