{"id":"W2911909514","doi":"","title":"Agent-based cooperative heterogeneous data mining","year":2012,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Data mining; Computer science; Cluster analysis; Association rule learning; Set (abstract data type); Knowledge extraction; Selection (genetic algorithm); Machine learning; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001998413,0.00007609868,0.00006830431,0.0000282847,0.0001206409,0.0001318803,0.001331984,0.00002039386,0.00005940359],"category_scores_gemma":[0.00002240085,0.00006320992,0.00001278828,0.0001894131,0.00002188898,0.0006786942,0.0005396077,0.00003787527,0.0002407576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001039808,"about_ca_system_score_gemma":0.0000359256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002243543,"about_ca_topic_score_gemma":0.000005530316,"domain_scores_codex":[0.9992556,0.00002221385,0.0001073636,0.0002670472,0.0001163757,0.0002314298],"domain_scores_gemma":[0.9984667,0.00006134569,0.00002981585,0.00130124,0.000027539,0.0001133223],"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":[0.000002514393,0.0005742579,0.001857674,0.00001011429,0.0000576262,0.00001057584,0.001322376,0.0003368416,0.001044519,0.03095998,0.1258922,0.8379313],"study_design_scores_gemma":[0.0001600592,0.00002509737,0.0002977404,0.000005272372,0.000005487101,0.00001440391,0.00003935147,0.8478135,0.003272052,0.000009567532,0.1481799,0.0001776271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00441232,0.00009625181,0.9914162,0.0005089908,0.0001633464,0.000072755,0.00004894341,0.0001577743,0.003123458],"genre_scores_gemma":[0.3323115,0.000002152229,0.6658837,0.0009834974,0.00009628048,0.00001743595,0.000141016,0.000006076299,0.0005582754],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8474766,"threshold_uncertainty_score":0.3094532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08559574516430654,"score_gpt":0.3137981502942159,"score_spread":0.2282024051299094,"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."}}