{"id":"W2153034921","doi":"10.1098/rsta.2006.1761","title":"Modelling transcriptional feedback loops: the role of Gro/TLE1 in Hes1 oscillations","year":2006,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"HES1; Psychological repression; Repressor; Enhancer; Physics; Transcription (linguistics); Corepressor; Cell biology; Biology; Regulation of gene expression; Transcription factor; Genetics; Gene expression; Gene; Notch signaling pathway","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":[0.0002381238,0.0004879806,0.0004774425,0.0002754427,0.0002763367,0.0005477029,0.0007833891,0.001142605,0.001221878],"category_scores_gemma":[0.001089202,0.0003321461,0.0004306464,0.0002162535,0.0005417839,0.0006460253,0.0005153853,0.000549496,0.0001788582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005846638,"about_ca_system_score_gemma":0.0004555542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00354071,"about_ca_topic_score_gemma":0.002023343,"domain_scores_codex":[0.9999211,0.00002501293,0.000004229305,0.00001702134,0.00001649769,0.00001625392],"domain_scores_gemma":[0.9997036,0.0001721087,0.00006100431,0.00001307118,0.00002584049,0.00002427621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002643252,0.00001392892,0.0002571714,0.00001895492,0.000008110709,0.00004621799,0.00002417885,0.9918189,0.003833566,0.003037553,0.00004602573,0.0008688888],"study_design_scores_gemma":[0.000006783732,0.000008525267,0.00006290039,0.000001339866,0.000003101438,0.000005352027,0.000004079081,0.9983998,0.0003737912,0.0009926884,0.0001393666,0.000002361241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5344403,0.0008728958,0.4520819,0.0005429657,0.00006864324,0.00008076843,0.0002678676,0.0003581639,0.01128661],"genre_scores_gemma":[0.9849712,0.0003356807,0.01189498,0.00003782597,0.00001747204,0.0001066016,0.00006609265,0.00005098888,0.002519126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00354071,"threshold_uncertainty_score":0.007040143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880002915973239,"score_gpt":0.2083181762042415,"score_spread":0.1895181470445091,"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."}}