{"id":"W1996644160","doi":"10.1186/1471-2105-12-s5-s5","title":"Unsupervised fuzzy pattern discovery in gene expression data","year":2011,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Gene; DNA microarray; Gene cluster; Gene expression; Cluster analysis; Computational biology; Set (abstract data type); Fuzzy logic; Biology; Class (philosophy); Expression (computer science); Discretization; Gene regulatory network; Data mining; Genetics; Computer science; Mathematics; Artificial intelligence","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":[0.0001695299,0.00013147,0.0001049939,0.00006734973,0.00003874891,0.00003211005,0.00053125,0.0001310414,0.0000281533],"category_scores_gemma":[0.00003764433,0.0001106763,0.00003482926,0.00009848906,0.00003517844,0.0000410908,0.0003720467,0.00007050939,0.00003163033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001066409,"about_ca_system_score_gemma":0.00008522699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001640147,"about_ca_topic_score_gemma":0.00004030778,"domain_scores_codex":[0.9990799,0.00003398749,0.0003339274,0.0002258872,0.0001352013,0.0001910951],"domain_scores_gemma":[0.9987102,0.000004818229,0.0001103723,0.001083985,0.00002720852,0.00006341659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003734767,0.0005008305,0.1376656,0.0003636598,0.00003656383,0.000004081769,0.002352464,0.0001358702,0.7947965,0.0001121225,0.02610532,0.03755355],"study_design_scores_gemma":[0.002485723,0.000206588,0.06372528,0.0001463496,0.00002400653,0.00001605086,0.001781589,0.02004186,0.8936536,0.0001942693,0.0169624,0.0007623173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5268331,0.0006016861,0.4553088,0.00005201879,0.0005680949,0.0005599229,0.0002085008,0.00004706495,0.01582079],"genre_scores_gemma":[0.9476696,0.0002835361,0.04987089,0.0003548581,0.0001216623,0.00002899698,0.00125511,0.00002151725,0.0003938022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4208365,"threshold_uncertainty_score":0.4513247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07563724883632382,"score_gpt":0.2709731361992954,"score_spread":0.1953358873629715,"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."}}