{"id":"W4401536709","doi":"10.1109/tii.2024.3435420","title":"One-Shot Federated Clustering Based on Stable Distance Relationships","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cluster analysis; Computer science; Shot (pellet); Data mining; Artificial intelligence; Materials science","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":[0.003470737,0.001376653,0.002955464,0.002446927,0.002531193,0.002082107,0.005784284,0.002876896,0.002739142],"category_scores_gemma":[0.01333086,0.0007556853,0.001641459,0.003545095,0.001804546,0.004895414,0.004393521,0.001714201,0.001106179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002740512,"about_ca_system_score_gemma":0.003304324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005767602,"about_ca_topic_score_gemma":0.007384809,"domain_scores_codex":[0.9954595,0.0009671386,0.0002164363,0.001642086,0.001353535,0.0003612499],"domain_scores_gemma":[0.9953146,0.001404395,0.0004519023,0.001437557,0.001101981,0.0002894623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005095149,0.0002924968,0.002427723,0.0003039696,0.0002257214,0.0002201442,0.0004953045,0.5548854,0.005823882,0.08689074,0.009024851,0.3389002],"study_design_scores_gemma":[0.00001181449,0.00004542022,0.00024549,0.00001184352,0.00001779226,0.0001110742,0.00004194243,0.961771,0.001573705,0.03497684,0.001170626,0.00002252179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0116773,0.0001955521,0.9854542,0.0001825364,0.00003879048,0.00008461799,0.0001570742,0.0008693231,0.001340595],"genre_scores_gemma":[0.4208715,0.0003495961,0.5700512,0.0003886638,0.0001309552,0.0002795173,0.001282711,0.0002811599,0.006364726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005784284,"threshold_uncertainty_score":0.01988393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1744422667781562,"score_gpt":0.3006973775388825,"score_spread":0.1262551107607262,"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."}}