{"id":"W2463715500","doi":"10.1016/j.compmedimag.2016.06.008","title":"WITHDRAWN: Clinical pathways inference from decision rules by hybrid stream mining and fuzzy unordered rule induction strategy","year":2016,"lang":"en","type":"article","venue":"Computerized Medical Imaging and Graphics","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Universidade de Macau","keywords":"Rule induction; Rule of inference; Computer science; Inference; Artificial intelligence; Fuzzy inference system; Data mining; Fuzzy inference; Decision rule; Fuzzy rule; Fuzzy logic; Fuzzy set; Fuzzy control system; Adaptive neuro fuzzy inference system","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":[0.003215397,0.0007726825,0.001754209,0.001074792,0.0009031537,0.001831215,0.002706193,0.00376583,0.076341],"category_scores_gemma":[0.0413474,0.0003320691,0.001448824,0.001281199,0.0006283722,0.001025304,0.0007806739,0.002689558,0.01978031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215967,"about_ca_system_score_gemma":0.004269276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005745616,"about_ca_topic_score_gemma":0.006786502,"domain_scores_codex":[0.9987166,0.0002392346,0.0002362351,0.0001453979,0.0005354757,0.0001270808],"domain_scores_gemma":[0.9846913,0.006119488,0.0004293127,0.0009039607,0.006705667,0.001150317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002443073,0.0001171353,0.001100902,0.000570879,0.0001600845,0.0007900491,0.00003437244,0.0004803942,0.0008737731,0.002963169,0.8901389,0.1003272],"study_design_scores_gemma":[0.006745365,0.001207608,0.01456045,0.001376236,0.0009866378,0.003526439,0.0001755255,0.01653261,0.009403316,0.04433163,0.9009674,0.0001868634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.01756436,0.01418195,0.0288621,0.4125102,0.4347595,0.001794555,0.04577794,0.004498072,0.04005136],"genre_scores_gemma":[0.2651985,0.01684507,0.05419346,0.190343,0.2231499,0.001745634,0.04021535,0.001254281,0.2070548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.076341,"threshold_uncertainty_score":0.2553861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02561250107072032,"score_gpt":0.2993486391257005,"score_spread":0.2737361380549802,"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."}}