{"id":"W4388449135","doi":"10.1101/2023.10.21.563417","title":"Publication, Funding, and Experimental Data in Support of Human Reference Atlas Construction and Usage","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; European Commission; National Science Foundation; National Institutes of Health; Japan Society for the Promotion of Science; Australian Research Data Commons; UK Research and Innovation","keywords":"Metadata; Computer science; Atlas (anatomy); Information retrieval; Data science; World Wide Web; Medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02314103,0.001300307,0.001831905,0.0407433,0.002095722,0.008063871,0.002323028,0.001137838,0.04460349],"category_scores_gemma":[0.09038953,0.0009410643,0.001428112,0.05034427,0.001411149,0.003694462,0.006054123,0.001533888,0.02720099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003259748,"about_ca_system_score_gemma":0.0165765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01057439,"about_ca_topic_score_gemma":0.0135341,"domain_scores_codex":[0.9786523,0.003408941,0.006230895,0.003855465,0.006765382,0.001086988],"domain_scores_gemma":[0.9052047,0.03922539,0.01024738,0.02551943,0.01646615,0.003336998],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006976926,0.00009533935,0.02683139,0.01247227,0.0005696877,0.0008005691,0.002519483,0.002209045,0.009436185,0.03831219,0.7665221,0.139534],"study_design_scores_gemma":[0.00008278531,0.00003046931,0.01609923,0.001488784,0.0002789077,0.0002746978,0.0005445286,0.0007716893,0.006205862,0.007665663,0.9664769,0.0000805438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.005987639,0.001623509,0.01514943,0.00110662,0.0004331495,0.0003859971,0.9549479,0.004957167,0.01540856],"genre_scores_gemma":[0.01618019,0.001562287,0.05159102,0.0003302464,0.0001418267,0.00140028,0.9227889,0.002027168,0.003978056],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.976859,"threshold_uncertainty_score":0.1492136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05132881808800726,"score_gpt":0.2760532464557213,"score_spread":0.224724428367714,"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."}}