{"id":"W3138444583","doi":"10.1101/2021.03.19.436162","title":"Cellar: Interactive single cell data annotation tool","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Christie (Canada)","funders":"National Institutes of Health","keywords":"Annotation; Computer science; Profiling (computer programming); Software; Key (lock); Information retrieval; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003242789,0.0005383371,0.0004305715,0.00009985246,0.0001247099,0.0003567905,0.001007834,0.0007121673,0.00003677225],"category_scores_gemma":[0.0001916886,0.000632518,0.0001654615,0.0001937487,0.00009197368,0.00002726547,0.00116654,0.0005858358,0.00002289249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009954399,"about_ca_system_score_gemma":0.0005978419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006029326,"about_ca_topic_score_gemma":0.00001469314,"domain_scores_codex":[0.9970542,0.0001676702,0.000504219,0.001537355,0.0002822587,0.0004543272],"domain_scores_gemma":[0.9964336,0.00002719322,0.0003483601,0.002501307,0.0005290172,0.0001605139],"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":[0.00006725232,0.0003855328,0.00142449,0.0002289401,0.0001344128,0.00003359143,0.00001280666,0.00009064523,0.9967624,0.000004799861,0.0008471407,0.00000800707],"study_design_scores_gemma":[0.0005247454,0.0001129933,0.00321233,0.0001530469,0.0001246138,3.04012e-8,0.00001135313,0.0005375331,0.9788664,3.509319e-7,0.01568492,0.0007716952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844885,0.002060299,0.01017743,0.00007034003,0.001946614,0.0004415505,0.0006644317,0.00009521216,0.00005558769],"genre_scores_gemma":[0.9901048,0.0004747283,0.007971586,0.0003035513,0.0008662446,0.0000431069,0.00006539529,0.0001453036,0.00002526616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01789599,"threshold_uncertainty_score":0.9996126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146370403990095,"score_gpt":0.2252182333072175,"score_spread":0.2037545292673165,"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."}}