{"id":"W4243607236","doi":"10.1371/journal.pcbi.1002920","title":"Biomolecular Events in Cancer Revealed by Attractor Metagenes","year":2013,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"BC Cancer Agency; Chang Gung Medical Foundation; Chang Gung University; Cancer Research UK","keywords":"Attractor; Computational biology; Cancer; Biology; Phenotype; Gene; Computer science; Genetics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005145003,0.0002892196,0.000309045,0.001734003,0.0003007958,0.0006278352,0.0003506461,0.0003645291,0.0007449971],"category_scores_gemma":[0.002131801,0.0002437759,0.000768159,0.0008424669,0.0005186437,0.0003959072,0.0007451681,0.0003057541,0.00009031199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005700016,"about_ca_system_score_gemma":0.0004838246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0016672,"about_ca_topic_score_gemma":0.001974249,"domain_scores_codex":[0.9998484,0.00004448552,0.00001240068,0.0000422272,0.00003247639,0.00002005714],"domain_scores_gemma":[0.9993253,0.0003705189,0.000115981,0.00008313838,0.00006444754,0.00004058919],"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":[0.0003159297,0.00007351307,0.06403448,0.0001903147,0.0002190678,0.0004117326,0.0005204113,0.7970629,0.03924878,0.03813649,0.0006949072,0.05909154],"study_design_scores_gemma":[0.00001121569,0.00003017693,0.007677832,0.00001019268,0.00002654043,0.00008345723,0.00004376954,0.9707977,0.003615407,0.01703466,0.0006529176,0.00001617869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7717202,0.0001886175,0.2252201,0.0001551673,0.00001179242,0.00005852958,0.000468094,0.0005796471,0.00159775],"genre_scores_gemma":[0.9325964,0.00008178353,0.06623604,0.00002128159,0.000006418788,0.00007558029,0.0004984319,0.00003993634,0.0004439805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001734003,"threshold_uncertainty_score":0.004135668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266891031885006,"score_gpt":0.2969868077461444,"score_spread":0.2743178974272944,"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."}}