{"id":"W2148251716","doi":"10.1100/2011/520498","title":"Nonlinear Model-Based Method for Clustering Periodically Expressed Genes","year":2011,"lang":"en","type":"article","venue":"The Scientific World JOURNAL","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cluster analysis; Computer science; Bootstrapping (finance); Data mining; Nonlinear system; Correlation clustering; Biological data; Pattern recognition (psychology); Algorithm; Artificial intelligence; Mathematics; Bioinformatics; Biology","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":[0.001224537,0.00082214,0.00100926,0.001339194,0.0007391051,0.0007725187,0.001809992,0.001017759,0.001506712],"category_scores_gemma":[0.003087535,0.0004343888,0.001183364,0.00132886,0.0005270404,0.0008363381,0.0007892295,0.001153921,0.001057631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088666,"about_ca_system_score_gemma":0.001578732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007844124,"about_ca_topic_score_gemma":0.008019118,"domain_scores_codex":[0.9992328,0.0001981623,0.000045697,0.0002450557,0.0002288222,0.00004946928],"domain_scores_gemma":[0.9991546,0.000281694,0.00011671,0.0001158127,0.0002985448,0.00003265385],"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":[0.0002459534,0.0001180311,0.002791865,0.0002160489,0.000200408,0.0001455434,0.0002736115,0.6383339,0.01914749,0.01067388,0.004177571,0.3236757],"study_design_scores_gemma":[0.000005832689,0.0000102617,0.0003024023,0.000003548226,0.000006956809,0.00002812482,0.00001169077,0.9958107,0.001084208,0.002069925,0.0006547798,0.00001149756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006258201,0.00008781983,0.9927169,0.00006261141,0.00001916367,0.00004320226,0.00007404733,0.0003862045,0.000351806],"genre_scores_gemma":[0.203156,0.0002604066,0.7908721,0.0001230094,0.00007306923,0.0004988711,0.0009724338,0.000260179,0.003783965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007844124,"threshold_uncertainty_score":0.01559693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04878058097815528,"score_gpt":0.3071404591568351,"score_spread":0.2583598781786798,"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."}}