{"id":"W2077350268","doi":"10.1186/1471-2105-15-s6-i1","title":"Knowledge Discovery and interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges and research directions","year":2014,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":223,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Discovery Centre; University Health Network","funders":"","keywords":"Data science; State (computer science); Computer science; World Wide Web; Bioinformatics; Biology","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":[0.04148045,0.001397238,0.002925267,0.00372203,0.002042677,0.01177641,0.00712097,0.007434176,0.004766567],"category_scores_gemma":[0.03216751,0.001361823,0.001639861,0.009374736,0.009313778,0.02978408,0.005089097,0.007534922,0.002313749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002647214,"about_ca_system_score_gemma":0.006611762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003310578,"about_ca_topic_score_gemma":0.002709518,"domain_scores_codex":[0.9834785,0.009558967,0.001168665,0.001474862,0.003621529,0.0006974039],"domain_scores_gemma":[0.9071623,0.08071096,0.001528696,0.003119414,0.005022509,0.002456072],"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":[0.0006199392,0.0005533911,0.003133539,0.008073018,0.0001966161,0.0002149733,0.00101824,0.006887729,0.002067341,0.1013424,0.04732186,0.828571],"study_design_scores_gemma":[0.0001341334,0.0004194904,0.002142064,0.005754825,0.0002193122,0.0006818001,0.001676759,0.06670327,0.003837511,0.6695781,0.2485574,0.0002953735],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006498812,0.6616751,0.1902281,0.1334896,0.002123911,0.0001859343,0.0004766155,0.001341443,0.003980405],"genre_scores_gemma":[0.06103795,0.6039002,0.308495,0.01000621,0.01148421,0.0004108324,0.00124197,0.0003533857,0.003070208],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04148045,"threshold_uncertainty_score":0.2193722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06287523198941182,"score_gpt":0.3455186186540535,"score_spread":0.2826433866646417,"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."}}