{"id":"W4394349535","doi":"10.6084/m9.figshare.14267219.v2","title":"Tabula Sapiens Single-Cell Datasets","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Homo sapiens; Computer science; Computational biology; Biology; Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003665183,0.0004484348,0.0003416039,0.00005618336,0.0001003478,0.0001273596,0.0006946069,0.0007703864,0.05523329],"category_scores_gemma":[0.0003854738,0.0004748884,0.000226374,0.0001126733,0.00001661595,0.000003835597,0.0003999884,0.0003719414,0.001518037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000252506,"about_ca_system_score_gemma":0.0002322066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002681689,"about_ca_topic_score_gemma":0.0001779095,"domain_scores_codex":[0.9981393,0.00006757631,0.0003075364,0.0008080539,0.000243563,0.0004340036],"domain_scores_gemma":[0.998221,0.0000253536,0.0001723518,0.00128445,0.0001198446,0.0001769328],"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":[0.00001641252,0.0002310841,7.680093e-7,0.0004175511,0.00004573593,0.00009656471,0.000002191094,0.000004626443,0.01957088,2.191222e-8,0.9793914,0.0002227592],"study_design_scores_gemma":[0.0003539794,0.0001177907,0.000003567442,0.0004990463,0.00004663469,0.00002936669,0.000005302278,0.000003132273,0.0371235,5.401561e-7,0.9612706,0.0005465715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003037567,0.002869115,0.000001403126,0.0000148155,0.0003348062,0.0001954402,0.996268,0.00001772906,0.0002683451],"genre_scores_gemma":[0.00005434609,0.0001392828,0.00005945281,0.0007273243,0.0009344257,0.00006910531,0.997503,0.00005839857,0.0004547108],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05371526,"threshold_uncertainty_score":0.9997703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02945735093524329,"score_gpt":0.2423293141048446,"score_spread":0.2128719631696013,"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."}}