{"id":"W2949593109","doi":"10.1371/journal.pgen.1007676","title":"3 minutes to precisely measure morphogen concentration","year":2018,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Agence Nationale de la Recherche; Ontario Trillium Foundation; Infrastructures en Biologie Santé et Agronomie; Université de Recherche Paris Sciences et Lettres; Mitacs; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Association pour la Recherche sur le Cancer","keywords":"Morphogen; Drosophila embryogenesis; Biology; Mitosis; Transcription factor; Cell biology; Transcription (linguistics); Genetics; Gap gene; Embryo; Embryogenesis; Gene","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":[0.00006211755,0.0001366602,0.00009406458,0.00002159831,0.00005676604,0.00002640511,0.0001723261,0.0001009066,0.00004523425],"category_scores_gemma":[0.00006612771,0.0001429215,0.00004179065,0.00009026448,0.00004167035,0.000001275048,0.00007265434,0.00003838523,0.00008987211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009658009,"about_ca_system_score_gemma":0.00004115631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001222136,"about_ca_topic_score_gemma":0.00002672973,"domain_scores_codex":[0.9991412,0.00001816235,0.0001516194,0.0002861111,0.0001586832,0.0002442567],"domain_scores_gemma":[0.9993271,0.000005011252,0.00002519988,0.0003331937,0.000173401,0.0001360693],"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":[0.00002573556,0.00002914061,0.001328564,0.000007684084,0.00003717509,6.406351e-7,0.0001202267,0.0003089816,0.9903502,0.000006109042,0.005624422,0.002161073],"study_design_scores_gemma":[0.0001964775,0.0003587847,0.0008417903,0.00001131619,0.00002396715,0.000004675183,0.00002076908,0.0009892141,0.9576561,0.00001490522,0.03969762,0.0001843039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806371,0.001516073,0.01513413,0.0001375796,0.0002570977,0.0002944338,0.00002228111,0.00002603333,0.001975283],"genre_scores_gemma":[0.9928073,0.00006361941,0.00538671,0.0003037628,0.0008944341,0.00002249091,0.00003837673,0.00002891311,0.0004544039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0340732,"threshold_uncertainty_score":0.5828172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535184636602931,"score_gpt":0.2783130338514972,"score_spread":0.2629611874854679,"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."}}