{"id":"W4254786677","doi":"10.4018/978-1-59140-557-3.ch056","title":"Data Mining with Incomplete Data","year":2005,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Missing data; Ambiguity; Survey data collection; Computer science; Data mining; Data set; Data science; Artificial intelligence; Statistics; Mathematics; 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":["metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0002429695,0.0004184079,0.0003857334,0.00005453829,0.0001896027,0.0004723288,0.01121264,0.0001736904,0.00001675195],"category_scores_gemma":[0.00001264052,0.0003737731,0.00003220782,0.00004400298,0.0001290993,0.0005427243,0.008078685,0.0002648912,0.0002929226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007801107,"about_ca_system_score_gemma":0.0003805243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007465948,"about_ca_topic_score_gemma":0.0003543566,"domain_scores_codex":[0.9970386,0.00001101585,0.0003774572,0.001668164,0.0005281421,0.0003765884],"domain_scores_gemma":[0.9896282,0.00005280317,0.0002840225,0.009767734,0.00007419127,0.0001930751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000214993,0.000006878163,0.000001979568,0.000006693851,0.00005563611,0.00003422925,0.00001349685,0.000001194686,5.276382e-7,0.7034233,0.03476858,0.2616854],"study_design_scores_gemma":[0.0002329291,0.00005042986,0.00001536823,0.0001892436,0.00006502407,0.000167086,0.000004095704,0.02782261,8.641939e-7,0.01618631,0.9547064,0.0005596204],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.000002238632,0.000250584,0.1397092,0.0003339367,0.0001521102,0.0002305453,0.01047572,0.0002941182,0.8485516],"genre_scores_gemma":[0.0006170365,0.00001431158,0.9324166,0.00114303,0.001001717,0.00001668385,0.002173644,0.00006877923,0.06254826],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9199378,"threshold_uncertainty_score":0.9999438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08128089344225493,"score_gpt":0.2934700909831993,"score_spread":0.2121891975409444,"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."}}