{"id":"W3188474407","doi":"10.1186/s13059-021-02433-9","title":"Community-wide hackathons to identify central themes in single-cell multi-omics","year":2021,"lang":"en","type":"letter","venue":"Genome biology","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Prevention of Organ Failure; McMaster University","funders":"National Cancer Institute; National Institute of Neurological Disorders and Stroke; Medical Research Council; Fondation Toulouse Cancer Santé; National Human Genome Research Institute; Institut National de la Santé et de la Recherche Médicale; Les Laboratories Pierre Fabre","keywords":"Library science; Research council; Gerontology; Medicine; Family medicine; Computer science","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002605826,0.0005652491,0.0006732444,0.000209906,0.0001612581,0.00006968416,0.0009932122,0.001867363,0.00005513825],"category_scores_gemma":[0.0001588581,0.0005966717,0.0003109733,0.0001907614,0.0001928885,0.000003299117,0.0004805903,0.001842167,0.00005277804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001190719,"about_ca_system_score_gemma":0.0002050104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004177796,"about_ca_topic_score_gemma":0.000985947,"domain_scores_codex":[0.9966147,0.0008154093,0.0005982043,0.0008174845,0.0001046309,0.001049574],"domain_scores_gemma":[0.9983979,0.00009269955,0.0001655338,0.001085071,0.0001175674,0.0001412222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005127541,0.000308297,0.003724803,0.0001104061,0.00008835791,0.00009270298,0.0004109194,0.00004113543,0.9489079,0.00000208533,0.04598705,0.0002750554],"study_design_scores_gemma":[0.0009808713,0.000411734,0.002535912,0.00003494658,0.00004596753,0.00002580136,0.0001466249,0.000004712215,0.0577728,0.00004219828,0.9371985,0.0007999455],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9127875,0.005725034,0.006138747,0.06802782,0.003463066,0.001143213,0.001295846,0.00007673448,0.001342071],"genre_scores_gemma":[0.3788575,0.0009722653,0.006436653,0.5767278,0.004508079,0.0001314324,0.02545833,0.0003250256,0.006582932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8912115,"threshold_uncertainty_score":0.9996485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04757512086863107,"score_gpt":0.2756353608919599,"score_spread":0.2280602400233289,"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."}}