{"id":"W2408661498","doi":"10.1007/978-1-60761-854-6_16","title":"Computing Chromosome Conformation","year":2010,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Chromatin; Chromosome conformation capture; Computational biology; Physical mapping; Genome; Chromosome; Gene; DNA; Biology; Interpretation (philosophy); Computer science; Genetics; Gene mapping","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005761044,0.0008321769,0.00123149,0.002936881,0.0008128142,0.003290154,0.001146862,0.001356918,0.01024639],"category_scores_gemma":[0.006140888,0.0005867391,0.001173438,0.003236345,0.0006011449,0.002288915,0.001774171,0.0010159,0.00388134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008885158,"about_ca_system_score_gemma":0.0009423358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004926983,"about_ca_topic_score_gemma":0.006414555,"domain_scores_codex":[0.9991212,0.0001042916,0.00004696395,0.0003673274,0.0002768764,0.00008325119],"domain_scores_gemma":[0.998373,0.0005507424,0.000142189,0.0003364403,0.0004865437,0.000111021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008008268,0.0001280442,0.05430374,0.001249783,0.0003165379,0.0008422765,0.0008681902,0.1627383,0.08174359,0.06366616,0.03016235,0.6031803],"study_design_scores_gemma":[0.00007471003,0.0001941157,0.02535876,0.000187183,0.0001264269,0.001087577,0.0007022902,0.8149177,0.0457625,0.0576196,0.05378659,0.0001824938],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1605355,0.001532612,0.7957124,0.0005471733,0.0002903306,0.0002511189,0.01600245,0.008390746,0.01673763],"genre_scores_gemma":[0.4788133,0.001760024,0.4820022,0.0001712162,0.0001068846,0.0002963316,0.03039366,0.00107939,0.005376961],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01024639,"threshold_uncertainty_score":0.03427762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008552132842596427,"score_gpt":0.3407288027048661,"score_spread":0.3321766698622696,"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."}}