{"id":"W4283759576","doi":"10.1242/dev.200594","title":"Developmental and evolutionary comparative analysis of a regulatory landscape in mouse and chicken","year":2022,"lang":"en","type":"article","venue":"Development","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics and Genomics of Geneva; Institute of Genetics; Université de Genève; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; École Polytechnique Fédérale de Lausanne","keywords":"Biology; Evolutionary biology; Development studies; Genetics; Computational biology; Ecology","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":[0.0001003764,0.0001097126,0.0001065089,0.0008995,0.0001347879,0.0001678272,0.0001614603,0.0001392316,0.0009964121],"category_scores_gemma":[0.0001209711,0.0001749758,0.0001642356,0.0002351479,0.0001659467,0.0000897845,0.0001769004,0.0001605957,0.0002227973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002271798,"about_ca_system_score_gemma":0.00009225982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001784643,"about_ca_topic_score_gemma":0.002761536,"domain_scores_codex":[0.9999168,0.000008110281,0.000004137481,0.0000418256,0.00001356338,0.00001554107],"domain_scores_gemma":[0.9998969,0.00001851283,0.00003329127,0.00001278457,0.00001402082,0.00002445513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001497436,0.000007062661,0.007014349,0.0000242423,0.000009339977,0.00007111469,0.0000581613,0.0001012105,0.9882578,0.0003064288,0.00002477843,0.003975732],"study_design_scores_gemma":[0.00001954715,0.0002738042,0.8780904,0.00002676119,0.00005656599,0.001272712,0.0001343655,0.001528798,0.1124504,0.0002480191,0.005885016,0.00001370318],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964896,0.00069466,0.001125257,0.00001637789,0.000002573218,0.000005083882,0.0002654711,0.00001812761,0.001382901],"genre_scores_gemma":[0.9948733,0.0004233091,0.001799,0.00003977331,0.000003435402,0.00001628671,0.0006636629,0.00002844697,0.00215263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001784643,"threshold_uncertainty_score":0.003548443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007599305014253554,"score_gpt":0.212127698582811,"score_spread":0.2045283935685574,"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."}}