{"id":"W2744236171","doi":"10.1073/pnas.1705848114","title":"Genetic background-dependent role of <i>Egr1</i> for eyelid development","year":2017,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"melanin and skin pigmentation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institutes of Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Frederick National Laboratory for Cancer Research","keywords":"Biology; PAX6; EGR1; Eyelid; Microphthalmia; Zinc finger transcription factor; Hairless; Cancer research; Genetics; Transcription factor; Medicine; Zinc finger; Ophthalmology","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":[0.0002308544,0.000532791,0.0002014374,0.0005321048,0.000224723,0.0005186155,0.0004622309,0.0004512298,0.00351174],"category_scores_gemma":[0.0001404495,0.0001814632,0.000306331,0.0001506797,0.0003206307,0.0003335025,0.0003343815,0.001104763,0.00119548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000447511,"about_ca_system_score_gemma":0.0002959975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000895776,"about_ca_topic_score_gemma":0.001950474,"domain_scores_codex":[0.9997484,0.00004297969,0.00003322164,0.00005960235,0.00004919852,0.00006658558],"domain_scores_gemma":[0.9997151,0.00003314834,0.0001214749,0.00003512665,0.00001820029,0.00007684089],"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":[0.00006113483,0.00001976137,0.0001861972,0.00001672059,0.000002804341,0.00004280523,0.00000865047,0.00002959503,0.9987373,0.0001286733,0.00005009462,0.0007163395],"study_design_scores_gemma":[0.00000659774,0.00009981723,0.004381479,0.00001316737,0.0000217153,0.000386156,0.0000388167,0.0003695786,0.9917071,0.00003604063,0.002933883,0.000005543955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824464,0.002392331,0.006314041,0.0004255619,0.00008759584,0.00004682501,0.00202836,0.0004845912,0.005774292],"genre_scores_gemma":[0.9816072,0.001163798,0.005026151,0.0001852401,0.00001538678,0.00004431535,0.001329425,0.0002317079,0.01039697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00351174,"threshold_uncertainty_score":0.0117479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04095480125874601,"score_gpt":0.3235662932036263,"score_spread":0.2826114919448803,"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."}}