{"id":"W4415092883","doi":"10.1007/978-3-032-08649-5_4","title":"Pairwise Clustering on Numerical Datasets by Translation","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Pairwise comparison; Cluster analysis; Partition (number theory); Categorical variable; Parameterized complexity; Constrained clustering; Set (abstract data type); Computation; Similarity (geometry)","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":[],"consensus_categories":[],"category_scores_codex":[0.000812542,0.0002319582,0.0002338757,0.0009571788,0.0004677801,0.0006101686,0.003906343,0.0001195945,0.000005023132],"category_scores_gemma":[0.00005004849,0.000241691,0.00003661811,0.000552618,0.000469195,0.005529328,0.002746284,0.0006007783,0.00004658934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002293874,"about_ca_system_score_gemma":0.0002322521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009700084,"about_ca_topic_score_gemma":0.000003215038,"domain_scores_codex":[0.9980643,0.0000436976,0.0005896469,0.0003908842,0.0006233956,0.0002881233],"domain_scores_gemma":[0.9966418,0.0003939566,0.000185482,0.002482916,0.0001760119,0.0001198017],"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":[0.000003733437,0.00001662522,0.000001634019,0.00003017828,0.000003643928,4.907487e-7,0.0003907122,0.001239793,0.000002901024,0.07181577,0.00146991,0.9250246],"study_design_scores_gemma":[0.0002024911,0.00004863641,0.00002874927,0.0001775578,0.000001514826,0.000006221097,0.000003164691,0.7543389,0.000009889047,0.001344732,0.2436455,0.0001927447],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000001106947,0.0002460418,0.9072669,0.001487091,0.0001788764,0.0003268631,0.00008531586,0.0001031345,0.09030468],"genre_scores_gemma":[0.00838107,0.004857659,0.977915,0.003312256,0.00006096394,0.0001096727,0.0009141213,0.00002568248,0.004423602],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9248319,"threshold_uncertainty_score":0.9855873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05057951670700949,"score_gpt":0.3428955448297427,"score_spread":0.2923160281227332,"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."}}