{"id":"W1583121608","doi":"10.1023/a:1022188514489","title":"Maximum Consistency of Incomplete Data via Non-Invasive Imputation","year":2003,"lang":"en","type":"article","venue":"Artificial Intelligence Review","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Computer science; Imputation (statistics); Consistency (knowledge bases); Data mining; Algorithm; Artificial intelligence; Missing data; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00134311,0.0001703813,0.0005744361,0.00003887084,0.00007283446,0.00001045427,0.0003366458,0.00004910411,0.0002497085],"category_scores_gemma":[0.007776309,0.0001450007,0.0000858851,0.0002899841,0.0001531321,0.0001557491,0.00009162102,0.0001243768,0.00007974562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002131415,"about_ca_system_score_gemma":0.0001028006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001465392,"about_ca_topic_score_gemma":0.0000282271,"domain_scores_codex":[0.9978775,0.0002682246,0.001011865,0.0003752013,0.000228588,0.0002385659],"domain_scores_gemma":[0.9967614,0.001703729,0.0003572099,0.0008384339,0.0002460862,0.00009308929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003780446,0.00007644906,0.000002671494,0.00189445,0.00001885652,0.000005261222,0.00004779724,0.000009624516,0.0006147987,0.5591204,0.0001257657,0.4380801],"study_design_scores_gemma":[0.00001379578,0.00006055901,0.000001172881,0.001386683,0.000117814,0.00001261494,0.00005925175,0.002221117,0.007473168,0.9872423,0.001250426,0.0001611075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001090535,0.006548402,0.9908084,0.0001675675,0.000134578,0.0006019337,0.0000593867,0.00002150331,0.001549165],"genre_scores_gemma":[0.07142357,0.01560415,0.9125023,0.0003243301,0.00003394464,0.0000317176,0.00003022353,0.00002838325,0.00002130063],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.437919,"threshold_uncertainty_score":0.930953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3887878940414836,"score_gpt":0.4890945747855664,"score_spread":0.1003066807440829,"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."}}