{"id":"W7020245921","doi":"","title":"KDD 2002 proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ; July 23 - 26, 2002, Edmonton, Alberta, Canada","year":2002,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Knowledge extraction; Association rule learning; Web mining; Software mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001276167,0.0001423664,0.0001355438,0.00004076543,0.0001433233,0.0002979836,0.003520759,0.0000347196,0.0001344581],"category_scores_gemma":[0.0001289913,0.0000993369,0.00001764819,0.0002467069,0.0000810073,0.000986067,0.001664612,0.0001134355,0.00003336116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003898826,"about_ca_system_score_gemma":0.0001360204,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03787237,"about_ca_topic_score_gemma":0.09998615,"domain_scores_codex":[0.998734,0.000008134993,0.0002415573,0.0005223256,0.0002947034,0.0001992874],"domain_scores_gemma":[0.9985779,0.0001545529,0.0001326988,0.000923684,0.0001329329,0.00007825794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001768702,0.0001286072,0.0005936045,0.00001264964,0.00003151115,7.461757e-7,0.0005780485,0.000001416246,0.0001793476,0.04733937,0.9241074,0.02702558],"study_design_scores_gemma":[0.0005898204,0.00007657371,0.01078075,0.0002125187,0.00002688684,0.00003084836,0.0003802266,0.6335236,0.001258348,0.0003797167,0.3522359,0.0005048254],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05104456,0.0006858121,0.01557403,0.03864913,0.002039422,0.00109818,0.001210031,0.0002264803,0.8894724],"genre_scores_gemma":[0.7398179,0.0002145132,0.06558917,0.001160659,0.0003324882,0.00005972396,0.00005083422,0.0000375921,0.1927371],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6967353,"threshold_uncertainty_score":0.9685345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05070213935716859,"score_gpt":0.2677372799557711,"score_spread":0.2170351405986025,"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."}}