{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009735806,0.0008142797,0.0008288366,0.004797591,0.004251057,0.004097613,0.003071095,0.003347982,0.004922184],"category_scores_gemma":[0.0231315,0.0004326907,0.001965332,0.01318725,0.0012211,0.002381654,0.002676862,0.002260797,0.001489843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002677751,"about_ca_system_score_gemma":0.003048586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00878968,"about_ca_topic_score_gemma":0.02192857,"domain_scores_codex":[0.9891086,0.003561952,0.001031458,0.000744798,0.0044667,0.001086518],"domain_scores_gemma":[0.9771533,0.01443659,0.0009596796,0.00177021,0.004514548,0.001165675],"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":[0.001752859,0.003193028,0.177031,0.007417699,0.0007377849,0.03649433,0.005339119,0.03713747,0.006867841,0.06172264,0.2529758,0.4093304],"study_design_scores_gemma":[0.0005971866,0.001345516,0.05943613,0.00213129,0.0005557252,0.03361019,0.01805509,0.08173946,0.03190513,0.04752261,0.7228023,0.0002993744],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6680017,0.02290861,0.1417299,0.0364695,0.001910248,0.004504498,0.03857214,0.002112773,0.0837907],"genre_scores_gemma":[0.6967524,0.009779167,0.2363365,0.004015537,0.0003892597,0.001911345,0.03496299,0.0002827849,0.01556987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009735806,"threshold_uncertainty_score":0.05148846,"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."}}