{"id":"W2111827030","doi":"10.1186/1756-0381-7-7","title":"Semi-supervised consensus clustering for gene expression data analysis","year":2014,"lang":"en","type":"article","venue":"BioData Mining","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Cluster analysis; Computer science; Data mining; Consensus clustering; Computational biology; Expression (computer science); Artificial intelligence; Biology; Correlation clustering; CURE data clustering algorithm","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":[0.005724066,0.001321783,0.002311201,0.00288702,0.001014012,0.001149205,0.002714407,0.001711551,0.00169155],"category_scores_gemma":[0.01441562,0.0007080265,0.001930991,0.003134252,0.001499858,0.001362381,0.001269404,0.002125851,0.001520931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001808852,"about_ca_system_score_gemma":0.002668686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004231688,"about_ca_topic_score_gemma":0.003734261,"domain_scores_codex":[0.9934989,0.002499175,0.0004144806,0.001443121,0.001997965,0.0001463026],"domain_scores_gemma":[0.9902229,0.004703601,0.00103652,0.00121989,0.002637163,0.0001798606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000320224,0.0002092676,0.002709042,0.001015025,0.0005323139,0.0001399164,0.0004175793,0.657284,0.01690073,0.01174309,0.00560233,0.3031265],"study_design_scores_gemma":[0.00001255023,0.00003164614,0.0006001565,0.00002078798,0.00001940386,0.00005141592,0.00002692908,0.9829636,0.004043058,0.01080097,0.001401154,0.00002843131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004817686,0.0003067981,0.9933073,0.00007628962,0.0000282937,0.00008718965,0.0001320129,0.0009445902,0.0002998736],"genre_scores_gemma":[0.1297049,0.0003353324,0.8670255,0.00009254944,0.00006963529,0.0007530796,0.001086307,0.0002596908,0.0006729325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005724066,"threshold_uncertainty_score":0.03027213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1087011612012788,"score_gpt":0.350048260191916,"score_spread":0.2413470989906372,"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."}}