{"id":"W2097807244","doi":"10.1142/s021962201240007x","title":"TOP-10 DATA MINING CASE STUDIES","year":2012,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Simon Fraser University","funders":"National Science Foundation","keywords":"Snapshot (computer storage); Computer science; Knowledge extraction; Data science; Unstructured data; Data mining; Domain knowledge; Information extraction; Big data; Knowledge management; Artificial intelligence; Database","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001136733,0.0001013118,0.0001615546,0.001016869,0.0001282593,0.0002166632,0.00279254,0.00008402555,0.00002767395],"category_scores_gemma":[0.001455302,0.00008441986,0.00004215798,0.0004729257,0.000057573,0.007103345,0.001495054,0.0001954343,0.00008807665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008468382,"about_ca_system_score_gemma":0.0000615482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.159464e-7,"about_ca_topic_score_gemma":6.328003e-7,"domain_scores_codex":[0.9983887,0.00001518378,0.0008135203,0.0001028552,0.0005031723,0.0001765493],"domain_scores_gemma":[0.9972487,0.0003111243,0.000826331,0.0006064379,0.0009578108,0.00004958915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006843312,0.00002526172,0.0004218785,0.000001760587,0.00007794933,0.00008286707,0.0006444442,0.00003589963,0.000009113491,0.01377711,0.009258552,0.9756583],"study_design_scores_gemma":[0.002422662,0.0002765981,0.001202139,0.001065372,0.00009857241,0.1234121,0.01487289,0.1904906,0.001441057,0.03246353,0.6313968,0.0008577298],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0396184,0.0005577809,0.9561148,0.001660162,0.001556648,0.00004899768,0.00002304817,0.00007697219,0.0003432531],"genre_scores_gemma":[0.4595712,0.00005865768,0.5399691,0.0002388572,0.000141006,0.000002583554,0.000006332465,0.000002705856,0.000009578953],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9748006,"threshold_uncertainty_score":0.5189281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05060423209022588,"score_gpt":0.3886701024250078,"score_spread":0.3380658703347819,"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."}}