{"id":"W4242105255","doi":"10.4018/978-1-60566-010-3.ch130","title":"On Explanation-Oriented Data Mining","year":2009,"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":"Data science; Computer science; Task (project management); Knowledge extraction; Scientific discovery; Context (archaeology); Association rule learning; Order (exchange); Data mining; Engineering; Geography; Psychology","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":[0.00641823,0.001556764,0.001072024,0.004262663,0.00083193,0.004462328,0.002532303,0.001789649,0.005963951],"category_scores_gemma":[0.009362544,0.0006969881,0.001301596,0.007068345,0.00526225,0.008471278,0.003229983,0.004031572,0.002230013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182368,"about_ca_system_score_gemma":0.001287918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001451217,"about_ca_topic_score_gemma":0.001301328,"domain_scores_codex":[0.9961414,0.001891203,0.0002207325,0.0004339336,0.001180649,0.0001321214],"domain_scores_gemma":[0.990441,0.0083243,0.0001790194,0.0005200498,0.0004374821,0.00009831108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003659247,0.0000679939,0.0007041316,0.000865522,0.00006624807,0.0002001198,0.0011373,0.006133163,0.0004559799,0.6409905,0.02260896,0.3267334],"study_design_scores_gemma":[0.00002108819,0.00003266362,0.0004766706,0.0005718684,0.00002588626,0.0003469136,0.0002443309,0.02057991,0.0006496627,0.8402721,0.1367441,0.00003481397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003049676,0.03905193,0.9021667,0.007177648,0.0004727163,0.0002651772,0.0004019697,0.0005237538,0.04689027],"genre_scores_gemma":[0.06242081,0.03932439,0.8710419,0.004090456,0.001111979,0.0008704152,0.001441909,0.0003428645,0.01935532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00641823,"threshold_uncertainty_score":0.03394324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03875731678113908,"score_gpt":0.2799693308494849,"score_spread":0.2412120140683458,"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."}}