{"id":"W3045647555","doi":"10.3389/fncir.2020.00047","title":"A Simple and Efficient Method for Visualizing Individual Cells in vivo by Cre-Mediated Single-Cell Labeling by Electroporation (CREMSCLE)","year":2020,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Electroporation; Single-cell analysis; Biology; Cell; Neuroscience; Cell biology; Cell type; Transduction (biophysics); Context (archaeology); Biophysics; Gene; Genetics","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":[0.0003987857,0.0001799123,0.0002358878,0.00007676949,0.00004811036,0.00004734197,0.0001347664,0.0001821868,0.000004782031],"category_scores_gemma":[0.0002730651,0.0002075066,0.00003965083,0.0002690287,0.00003124108,0.00001054492,0.00005078521,0.0001535869,2.829956e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004634569,"about_ca_system_score_gemma":0.00003184674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001977253,"about_ca_topic_score_gemma":0.000006149644,"domain_scores_codex":[0.9984797,0.000268008,0.0003315228,0.0004863593,0.0001123835,0.0003220768],"domain_scores_gemma":[0.9995615,0.00005468325,0.0001423544,0.0001004711,0.00004733078,0.00009361996],"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":[0.00005700732,0.00006705999,0.0007211939,0.00003896686,0.000008756608,7.958581e-7,0.0002621221,0.0004801419,0.9601046,0.000001642553,0.03585253,0.002405128],"study_design_scores_gemma":[0.00123161,0.0003019853,0.00002550761,0.00000498056,0.00001218419,8.888151e-7,0.0001849697,0.02204404,0.9613813,0.00001546194,0.01457612,0.0002209399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6763878,0.001047706,0.3216632,0.000124324,0.00009676869,0.0004647725,0.0001710653,0.00001461981,0.00002964106],"genre_scores_gemma":[0.977432,0.00004362238,0.02035421,0.001278011,0.00007647475,0.00003064539,0.0007092759,0.00004317093,0.00003259821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.301309,"threshold_uncertainty_score":0.8461873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103871227487168,"score_gpt":0.2808059223028481,"score_spread":0.2597672100279764,"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."}}