{"id":"W4256416331","doi":"10.4018/9781605660103.ch130","title":"On Explanation-Oriented Data Mining","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Data science; Data mining","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":[0.00631181,0.001522745,0.001005663,0.004381519,0.0008568595,0.004737349,0.00251431,0.001679421,0.0081119],"category_scores_gemma":[0.01059093,0.0007403648,0.001361646,0.007127273,0.004405639,0.008766462,0.003283408,0.004152289,0.002928355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800664,"about_ca_system_score_gemma":0.001494283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001453848,"about_ca_topic_score_gemma":0.001599161,"domain_scores_codex":[0.996157,0.001838399,0.0001984078,0.0004164714,0.001259209,0.0001305072],"domain_scores_gemma":[0.989908,0.008744629,0.0001800166,0.0005809893,0.0004860277,0.0001003759],"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":[0.00003198209,0.00007004717,0.0007641944,0.0009204705,0.00006506054,0.0001798877,0.001168106,0.005736223,0.00045847,0.5945395,0.02787609,0.3681901],"study_design_scores_gemma":[0.00001964581,0.00003328792,0.0005836958,0.0007030789,0.00002865559,0.0003770004,0.0003076956,0.02294126,0.0007954779,0.8069524,0.1672211,0.00003674566],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003358581,0.03925968,0.8851494,0.008318951,0.0004517239,0.000326424,0.0005872602,0.0007690794,0.06177903],"genre_scores_gemma":[0.05567392,0.03630854,0.8769004,0.003581535,0.0008455019,0.0008227654,0.001874483,0.0004420959,0.02355074],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0081119,"threshold_uncertainty_score":0.03338039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05657923940842615,"score_gpt":0.27522013122374,"score_spread":0.2186408918153138,"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."}}