{"id":"W4285781363","doi":"10.1002/widm.1343","title":"Density‐based clustering","year":2019,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Cluster analysis; 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":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.001261477,0.0003697553,0.0006410782,0.0002182963,0.0002668971,0.000580901,0.002815674,0.00008894339,0.00002057156],"category_scores_gemma":[0.0001291936,0.0003118947,0.0001062721,0.0004833117,0.0001161213,0.003279311,0.01598723,0.0002975141,0.0003936179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008435822,"about_ca_system_score_gemma":0.0001362927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003631454,"about_ca_topic_score_gemma":0.00004505294,"domain_scores_codex":[0.9969705,0.0002585065,0.0005830735,0.001359028,0.0002530659,0.0005758305],"domain_scores_gemma":[0.9961056,0.0003084517,0.0001807822,0.003144393,0.00006590065,0.0001949177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006454901,0.0002250115,0.002030886,0.001373886,0.00005409072,0.0000754631,0.002631999,0.00009062741,0.001014678,0.000236424,0.01032604,0.9818764],"study_design_scores_gemma":[0.0009126164,0.0003685543,0.000762623,0.004225052,0.0000287296,0.0001698976,0.0004327928,0.9436858,0.0001775301,0.0001889779,0.04817912,0.0008683577],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04260752,0.02562562,0.9220114,0.0006030828,0.001862473,0.001012064,0.00008291951,0.0002765287,0.005918353],"genre_scores_gemma":[0.6197993,0.005663145,0.3584121,0.0005886046,0.0009509553,0.0002115989,0.0007197741,0.0001829479,0.01347155],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.981008,"threshold_uncertainty_score":0.9999333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06673601290054507,"score_gpt":0.3667671650858934,"score_spread":0.3000311521853484,"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."}}