{"id":"W4244895237","doi":"10.1038/s41593-020-00768-3","title":"Publisher Correction: A community-based transcriptomics classification and nomenclature of neocortical cell types","year":2020,"lang":"en","type":"erratum","venue":"Nature Neuroscience","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Robarts Clinical Trials; Krembil Foundation; Carleton University","funders":"National Institute of Neurological Disorders and Stroke; National Eye Institute; National Institute of Mental Health","keywords":"Nomenclature; Neuroscience; Cell type; Neocortex; Biology; Cognitive science; Psychology; Cell; Zoology; Taxonomy (biology); Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0001796006,0.0002227058,0.0002335509,0.00006045282,0.0001502825,0.00009445312,0.0004881808,0.001304119,0.000002477401],"category_scores_gemma":[0.0001210135,0.0002052506,0.00008819881,0.0002588096,0.000294504,0.00001015762,0.0001067326,0.002764101,7.141898e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001203762,"about_ca_system_score_gemma":0.0003106266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004067339,"about_ca_topic_score_gemma":0.00001295261,"domain_scores_codex":[0.9988842,0.00008962111,0.0002702358,0.0003367671,0.0002182063,0.0002009946],"domain_scores_gemma":[0.9990943,0.00002215251,0.00021713,0.0004314868,0.0001158517,0.00011907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000568621,0.00006105355,0.00006904331,0.0002005937,0.000004734452,9.494497e-7,0.00006473793,0.00002670895,0.04225885,0.00008750014,0.9564028,0.0007661089],"study_design_scores_gemma":[0.0002884374,0.0004222256,0.001214053,0.00004037132,0.00004216736,0.00001051204,0.00003402468,0.008255333,0.001227154,0.0001296871,0.9880627,0.0002732863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.02800494,0.02822994,0.04637069,0.01764327,0.5464274,0.004756405,0.0007078412,0.0003193113,0.3275402],"genre_scores_gemma":[0.9455292,0.00119239,0.001367208,0.0168579,0.001451929,0.00002644856,0.00167253,0.00008294642,0.03181946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9175242,"threshold_uncertainty_score":0.9999924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382039356674978,"score_gpt":0.240137548567472,"score_spread":0.2263171550007222,"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."}}