{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005782358,0.000120891,0.0001281442,0.00006956404,0.00003649525,0.000006733689,0.000152406,0.0001317644,0.0002363229],"category_scores_gemma":[0.00003338056,0.0001095374,0.00004714989,0.0001207999,0.00004284566,0.000004932168,0.00004841448,0.00005756194,0.0000557638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002242351,"about_ca_system_score_gemma":0.00006399667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007461488,"about_ca_topic_score_gemma":0.000009576631,"domain_scores_codex":[0.9990583,0.0001183187,0.0002168397,0.000342921,0.00008467069,0.000178954],"domain_scores_gemma":[0.9995905,0.00001666677,0.00008695196,0.000139804,0.0001053154,0.00006081308],"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":[0.00001509278,0.0001081193,0.0410018,0.000006755336,0.00004160752,1.804381e-7,0.00001063862,0.0002475511,0.9505093,0.00008570208,0.006266111,0.001707127],"study_design_scores_gemma":[0.002692808,0.0004332282,0.4144134,0.00004627599,0.00003923522,0.000008592569,0.00007474901,0.0041691,0.5025533,0.006626337,0.06804959,0.000893324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915776,0.001667607,0.005038484,0.001118306,0.0001109406,0.0002784746,0.00003884342,0.00001251258,0.0001572382],"genre_scores_gemma":[0.9966817,0.0001364588,0.000821334,0.0008108018,0.00007921099,0.0002717012,0.0008082247,0.00001375968,0.0003768191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.447956,"threshold_uncertainty_score":0.4466806,"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."}}