{"id":"W2546592849","doi":"10.1109/itme.2008.4743972","title":"Medical Knowledge Acquisition Through Data Mining","year":2008,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Knowledge extraction; Computer science; Knowledge acquisition; Data science; Medical knowledge; Data mining; Knowledge management; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006876824,0.0008921674,0.001479562,0.005627444,0.0009079697,0.005091507,0.002613683,0.001640626,0.002257206],"category_scores_gemma":[0.0180349,0.0005185002,0.001360874,0.004610117,0.00273818,0.005606327,0.004451844,0.002335867,0.001237069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075179,"about_ca_system_score_gemma":0.002542351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00124029,"about_ca_topic_score_gemma":0.001038632,"domain_scores_codex":[0.9944772,0.001934934,0.0004592779,0.0008385849,0.002114886,0.0001752455],"domain_scores_gemma":[0.9902974,0.006537776,0.0006534861,0.001244953,0.001075824,0.0001904987],"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":[0.0002286945,0.0004213954,0.009406634,0.002212143,0.0003734312,0.0008424981,0.001282148,0.01942485,0.003665688,0.2269409,0.01416047,0.7210412],"study_design_scores_gemma":[0.000112416,0.0002851032,0.002704876,0.001565914,0.000366666,0.001811884,0.0008466694,0.1534025,0.01232578,0.6794684,0.1469678,0.0001419982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01387799,0.007519163,0.947386,0.01136512,0.0002443793,0.0007190686,0.0008340832,0.000915322,0.01713895],"genre_scores_gemma":[0.1865494,0.0143631,0.7901348,0.002299731,0.0005311357,0.000630631,0.001666872,0.00008507342,0.003739244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006876824,"threshold_uncertainty_score":0.03636855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09730166805199503,"score_gpt":0.3392275847261488,"score_spread":0.2419259166741538,"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."}}