{"id":"W1984671066","doi":"10.4236/abc.2012.22017","title":"SSINCC: Simple separation of interacting nucleoprotein complex components","year":2012,"lang":"en","type":"article","venue":"Advances in Biological Chemistry","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research; University of Waterloo; University of Toronto","keywords":"Nucleoprotein; DNA; Computational biology; Biology; Partition (number theory); Biophysics; Chemistry; Genetics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001296047,0.000121687,0.000157738,0.000009032814,0.000031969,0.000005617186,0.0001644595,0.0001383202,0.00006601151],"category_scores_gemma":[0.00009896544,0.0001063204,0.00005358163,0.00005312589,0.0000898578,0.000009428524,0.0001310327,0.00009031912,0.000003204981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001938662,"about_ca_system_score_gemma":0.000007512635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000473467,"about_ca_topic_score_gemma":0.000002533501,"domain_scores_codex":[0.9992177,0.00002699779,0.0002730435,0.0001897459,0.00005968787,0.0002328339],"domain_scores_gemma":[0.9995658,0.00002387796,0.0001517012,0.0001771843,0.00002843779,0.00005299535],"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":[0.00004077926,0.0001065407,0.0582679,0.00003231179,0.000006200026,3.491232e-7,0.00001669295,0.0001871856,0.9396477,0.00002810229,0.00002292565,0.001643298],"study_design_scores_gemma":[0.000526785,0.0001008087,0.0357013,0.00002928865,0.000004616425,0.00001694323,0.0001902147,0.001228347,0.932563,0.0004071125,0.02892598,0.0003056294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949529,0.0009116716,0.0006109775,0.00001163772,0.0000471213,0.00008006945,0.00002082182,0.000007254577,0.003357512],"genre_scores_gemma":[0.9969237,0.0002697355,0.002161924,0.0000400143,0.0001208468,0.00001117246,0.0004370631,0.000007981671,0.00002759615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02890305,"threshold_uncertainty_score":0.4335622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0232628468846206,"score_gpt":0.3114856208888503,"score_spread":0.2882227740042297,"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."}}