{"id":"W4310713272","doi":"10.1016/j.xpro.2022.101904","title":"Mouse kidney nuclear isolation and library preparation for single-cell combinatorial indexing RNA sequencing","year":2022,"lang":"en","type":"article","venue":"STAR Protocols","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Chinook Therapeutics; National Institutes of Health; Pfizer","keywords":"RNA; RNA extraction; Computational biology; Transcriptome; Computer science; Biology; Chemistry; Genetics; Gene expression; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001873665,0.001298353,0.001312872,0.00179782,0.00157816,0.001225301,0.00173746,0.0007152202,0.01252413],"category_scores_gemma":[0.0009461517,0.001127446,0.001085997,0.001630548,0.0007492743,0.000502173,0.001528444,0.00206716,0.01561958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009717785,"about_ca_system_score_gemma":0.00151443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001750656,"about_ca_topic_score_gemma":0.00821428,"domain_scores_codex":[0.998364,0.0001733837,0.0001294112,0.0004332168,0.0007032152,0.0001967051],"domain_scores_gemma":[0.9992734,0.00009100932,0.0000657898,0.0002592268,0.000206431,0.0001042329],"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":[0.0001785315,0.00004791529,0.000223528,0.0001768515,0.00001910787,0.00006826693,0.00005713725,0.0003658127,0.983995,0.001509283,0.003328453,0.01003011],"study_design_scores_gemma":[0.00006868677,0.0002612588,0.003034636,0.00005997129,0.00005965858,0.0002841855,0.00003361846,0.003737615,0.8580766,0.001240177,0.1330729,0.00007076184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04610073,0.002290289,0.8574046,0.0003983209,0.0004571783,0.006048785,0.04755372,0.01424423,0.02550222],"genre_scores_gemma":[0.09802306,0.003387352,0.708515,0.0007781925,0.000130009,0.01165187,0.1285199,0.004480867,0.04451372],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01252413,"threshold_uncertainty_score":0.04189736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02148834432395777,"score_gpt":0.2513981910200223,"score_spread":0.2299098466960645,"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."}}