{"id":"W2103851277","doi":"10.1073/pnas.0508214103","title":"Targeting of GFP to newborn rods by Nrl promoter and temporal expression profiling of flow-sorted photoreceptors","year":2006,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":316,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Institute of General Medical Sciences; National Eye Institute; Research to Prevent Blindness; National Institutes of Health; Foundation Fighting Blindness","keywords":"Biology; Green fluorescent protein; Cell biology; Gene; Regulator; Transcription factor; Opsin; Transgene; Gene expression; Gene expression profiling; Regulation of gene expression; Genetics; Retinal; Rhodopsin; Botany","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":[0.0001373108,0.0001588911,0.0001230012,0.0003075243,0.0001767657,0.0002177748,0.0001618006,0.0001466164,0.0009112674],"category_scores_gemma":[0.0001302971,0.000106533,0.0001278031,0.0001391738,0.0001981219,0.0001184852,0.0001270531,0.0004053268,0.000356874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003068595,"about_ca_system_score_gemma":0.0001794849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001097565,"about_ca_topic_score_gemma":0.002338895,"domain_scores_codex":[0.9999214,0.000006429271,0.000005337205,0.00002546568,0.00002214249,0.00001911483],"domain_scores_gemma":[0.9998975,0.00002193811,0.00002384714,0.00001055648,0.0000187916,0.0000273594],"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":[0.00001344585,0.000004000838,0.00007600947,0.000004703914,3.578909e-7,0.000009654759,0.00001023942,0.000009390971,0.9993574,0.00003423759,0.000007751981,0.0004727712],"study_design_scores_gemma":[0.000008125938,0.0001070742,0.0104269,0.000006916819,0.000006927493,0.0003218936,0.00003875367,0.001237858,0.9860168,0.0000798972,0.001743924,0.000004958431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618771,0.0008692781,0.03302612,0.00009507768,0.00002994232,0.00008425384,0.001403979,0.000232631,0.002381541],"genre_scores_gemma":[0.9361274,0.001540856,0.04916681,0.0002009821,0.00003138946,0.0001993302,0.003506046,0.0001921068,0.009035109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001097565,"threshold_uncertainty_score":0.00304848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126833063235082,"score_gpt":0.2613890480399581,"score_spread":0.2501207174076073,"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."}}