{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000591754,0.001109653,0.0006456114,0.000708313,0.0006170845,0.0007439516,0.0008425071,0.00120317,0.02683562],"category_scores_gemma":[0.0007290731,0.0006704262,0.0003765835,0.0006545017,0.0003528585,0.0004503201,0.0004112892,0.001900122,0.009509609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006148076,"about_ca_system_score_gemma":0.000493716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008610951,"about_ca_topic_score_gemma":0.002467956,"domain_scores_codex":[0.9992011,0.00005003603,0.00004765192,0.0003117622,0.0002446795,0.0001448469],"domain_scores_gemma":[0.9994062,0.0001776476,0.00007325588,0.0000940191,0.0001679336,0.00008084365],"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":[0.0002600352,0.000140326,0.001300388,0.0002285185,0.00002576608,0.0001218096,0.0001166316,0.0004105088,0.9721175,0.001055372,0.002965333,0.02125786],"study_design_scores_gemma":[0.00007680156,0.0007457345,0.01531899,0.00007730447,0.00007339373,0.0002922843,0.0001392317,0.0128149,0.9122039,0.001462821,0.05674146,0.00005320492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4101193,0.009172617,0.476981,0.002550174,0.004325777,0.001830083,0.0195677,0.01617511,0.05927827],"genre_scores_gemma":[0.528096,0.004618931,0.3754438,0.002717683,0.0008953626,0.007524743,0.01783067,0.002718485,0.06015439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02683562,"threshold_uncertainty_score":0.08977407,"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."}}