{"id":"W4409885889","doi":"10.1007/s10586-024-04981-8","title":"SPINEX-clustering: similarity-based predictions with explainable neighbors exploration for clustering problems","year":2025,"lang":"en","type":"article","venue":"Cluster Computing","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Clemson University","keywords":"Computer science; Cluster analysis; Similarity (geometry); Data mining; Artificial intelligence; Information retrieval; Image (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007860466,0.0004354092,0.0004309142,0.0005906267,0.001100377,0.0007116463,0.001306053,0.0001540387,0.00000310399],"category_scores_gemma":[0.0001662529,0.000423301,0.000130618,0.001390149,0.0001162221,0.001368682,0.001174284,0.0004291974,0.000007001765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003914353,"about_ca_system_score_gemma":0.0003123303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002942047,"about_ca_topic_score_gemma":0.00007952616,"domain_scores_codex":[0.9965559,0.0001351469,0.0006497647,0.001121338,0.0004981792,0.001039715],"domain_scores_gemma":[0.9974847,0.0005128468,0.0002292259,0.001082565,0.0005026369,0.0001879997],"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":[0.00007017176,0.0001033059,0.0001541862,0.0005872401,0.00004986072,0.000009529666,0.0007017822,0.9756321,0.0002569169,0.001271333,0.0003605704,0.020803],"study_design_scores_gemma":[0.002254863,0.0003606513,0.0001434808,0.0006312245,0.00001900796,0.00001678696,0.0001756505,0.9890886,0.0007609709,0.001388423,0.004736557,0.0004237797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008481216,0.00007454455,0.991018,0.003459815,0.0007769466,0.00178719,0.000007024525,0.000914254,0.001114129],"genre_scores_gemma":[0.305872,0.000003568888,0.6916,0.0009096939,0.0002412754,0.0003977821,0.00003244882,0.00006542006,0.000877818],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3050238,"threshold_uncertainty_score":0.9998219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347734993308603,"score_gpt":0.3032434677044574,"score_spread":0.2697661177713714,"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."}}