{"id":"W4413051710","doi":"10.1371/journal.pone.0329171","title":"Biomimetic model for computing missing data imputation and inconsistency reduction in pairwise comparisons matrices","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Laurentian University","funders":"","keywords":"Pairwise comparison; Missing data; Imputation (statistics); Computer science; Data mining; Consistency (knowledge bases); Algorithm; Artificial intelligence; Machine learning","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":[0.006289947,0.001136175,0.001778319,0.001294913,0.001054239,0.0014735,0.005778586,0.002130271,0.004588263],"category_scores_gemma":[0.01935162,0.001085353,0.002199543,0.001953984,0.001748241,0.001614658,0.002988921,0.004756154,0.001637036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407393,"about_ca_system_score_gemma":0.003915082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006600637,"about_ca_topic_score_gemma":0.007388445,"domain_scores_codex":[0.9971108,0.001365615,0.0001851191,0.0005148021,0.0006632739,0.0001604138],"domain_scores_gemma":[0.9908515,0.006089439,0.0007263558,0.0008072625,0.001270546,0.0002549265],"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":[0.000112969,0.00006292108,0.0007409283,0.0001166902,0.0001033623,0.0001341089,0.0001379026,0.8523427,0.002028199,0.08850594,0.00215617,0.05355812],"study_design_scores_gemma":[0.000009401886,0.00002386106,0.00006574667,0.000008046478,0.000009025544,0.0000331989,0.000007209261,0.977452,0.000496493,0.02062352,0.001258611,0.00001277405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008224188,0.00003000023,0.9986602,0.00005949394,0.00002036747,0.00002507404,0.00005066545,0.0001628452,0.0001689349],"genre_scores_gemma":[0.04365595,0.0001293804,0.9517868,0.0001682133,0.00006626127,0.0008257405,0.0004843487,0.0001859854,0.002697267],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006600637,"threshold_uncertainty_score":0.03326482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2218601535985042,"score_gpt":0.3526134167668066,"score_spread":0.1307532631683024,"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."}}