{"id":"W1498058970","doi":"","title":"Distributed data mining: why do more than aggregating models","year":2007,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Disjoint sets; Computer science; Data mining; Cover (algebra); Constraint (computer-aided design); Association rule learning; Data modeling; Mathematics; Database; Engineering","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":[0.02326136,0.001601322,0.003837147,0.001868122,0.001971831,0.006987515,0.004780927,0.003826426,0.002718783],"category_scores_gemma":[0.06216265,0.001403158,0.002048667,0.004092757,0.003432686,0.03475178,0.007288811,0.007164728,0.002100747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412298,"about_ca_system_score_gemma":0.0023083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002927443,"about_ca_topic_score_gemma":0.002872807,"domain_scores_codex":[0.984805,0.00600708,0.0008003789,0.003232004,0.004535502,0.0006199068],"domain_scores_gemma":[0.939822,0.02545407,0.002688951,0.02395504,0.006314554,0.001765317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005839806,0.000440916,0.02325896,0.001513768,0.001512777,0.0004584525,0.002463152,0.09689033,0.003442763,0.3238588,0.03465851,0.5109175],"study_design_scores_gemma":[0.00010243,0.0001352047,0.001750943,0.0004228977,0.0002280678,0.0003358786,0.0009647558,0.1804543,0.001938893,0.7749567,0.03861308,0.0000968582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0238043,0.006929022,0.9251962,0.03521036,0.0008050568,0.0001881243,0.0003057761,0.001496804,0.006064397],"genre_scores_gemma":[0.3915878,0.006076215,0.5877033,0.006393552,0.002253141,0.0004457198,0.0008910855,0.00066166,0.003987538],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02326136,"threshold_uncertainty_score":0.1230193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06916825381192836,"score_gpt":0.3111342989452858,"score_spread":0.2419660451333574,"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."}}