{"id":"W3212584432","doi":"10.1016/j.patrec.2021.11.011","title":"COLI: Collaborative clustering missing data imputation","year":2021,"lang":"en","type":"article","venue":"Pattern Recognition Letters","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Imputation (statistics); Missing data; Cluster analysis; Computer science; Data mining; Artificial intelligence; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0003215437,0.0001729018,0.0001687481,0.0001324095,0.0001786989,0.0005297182,0.008987323,0.00008148086,0.00005984776],"category_scores_gemma":[0.004556954,0.0001993884,0.00002893673,0.000723334,0.00006030543,0.001792269,0.03503902,0.000229529,0.0001725265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009500099,"about_ca_system_score_gemma":0.00008724423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002294709,"about_ca_topic_score_gemma":0.00003051308,"domain_scores_codex":[0.9980418,0.0001867225,0.0003031015,0.0008268885,0.0003112514,0.0003302497],"domain_scores_gemma":[0.9940539,0.000210314,0.000175292,0.00531225,0.0001830311,0.00006521386],"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":[0.000003818375,0.00004357598,0.0004907719,0.0000519586,0.000048891,0.0002520872,0.0001670072,0.00002111584,0.01419744,0.00000524423,0.135631,0.8490871],"study_design_scores_gemma":[0.001490013,0.00005239363,0.003694564,0.0004969547,0.00004959913,0.0002433554,0.0003234805,0.8843349,0.07710838,0.02467264,0.006384853,0.001148885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01988414,0.00008869443,0.8720157,0.1062799,0.000597069,0.0001502803,0.0002412529,0.0005546835,0.0001882579],"genre_scores_gemma":[0.1938568,0.00007923169,0.7876984,0.01618516,0.0001931181,0.0000413177,0.001903082,0.00003509844,0.000007774174],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8843138,"threshold_uncertainty_score":0.9963745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06923226651602932,"score_gpt":0.3007612208867049,"score_spread":0.2315289543706756,"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."}}