{"id":"W3016343849","doi":"10.1002/dvdy.181","title":"<scp>GAL4</scp> / <scp>GFP enhancer‐trap</scp> lines for identification and manipulation of cells and tissues in developing Arabidopsis leaves","year":2020,"lang":"en","type":"article","venue":"Developmental Dynamics","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Enhancer trap; Biology; Arabidopsis; Enhancer; Green fluorescent protein; Cell biology; Trap (plumbing); Cell culture; Identification (biology); Computational biology; Gene; Gene expression; Genetics; Botany; Mutant; Physics","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":[0.0004158159,0.0005328453,0.0001890989,0.0008864736,0.0005349641,0.0003425028,0.0007488577,0.0003235821,0.003145054],"category_scores_gemma":[0.0002255628,0.000286244,0.0003064525,0.0003839887,0.0003612422,0.0002482372,0.0003866098,0.001163472,0.00133104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004848259,"about_ca_system_score_gemma":0.0006590972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001341223,"about_ca_topic_score_gemma":0.005957445,"domain_scores_codex":[0.9997678,0.00002827595,0.0000195615,0.00003668698,0.0001228242,0.00002476636],"domain_scores_gemma":[0.9996505,0.00008980312,0.00007915233,0.00008147774,0.00004275873,0.0000563322],"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":[0.00001369608,0.00001568345,0.000255782,0.00002006196,0.000003257892,0.00003240943,0.0000200665,0.00004394725,0.9975139,0.0001576714,0.0001399386,0.001783586],"study_design_scores_gemma":[0.00001753383,0.0000915837,0.006293087,0.00001229562,0.00003316122,0.0005886904,0.00004494538,0.0009986723,0.9839198,0.0001278418,0.00786087,0.00001154273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7466307,0.001047285,0.2322028,0.0006078565,0.00008581732,0.0008298387,0.007082928,0.002697235,0.008815561],"genre_scores_gemma":[0.7492894,0.001544072,0.2178613,0.0003875592,0.00004092557,0.0009745166,0.01318755,0.001189955,0.01552477],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003145054,"threshold_uncertainty_score":0.01052123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02919717779019139,"score_gpt":0.2505861300443841,"score_spread":0.2213889522541927,"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."}}