{"id":"W4394215894","doi":"10.6084/m9.figshare.20510367","title":"Zebrahub single cell dataset","year":2022,"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":"Computer science","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":[0.00003943367,0.0003390787,0.0002406822,0.00005765289,0.0001407072,0.0000696999,0.0008462187,0.0003972722,0.6470422],"category_scores_gemma":[0.0001709916,0.0003681612,0.0001536393,0.00008603097,0.00001073008,0.000002950715,0.00052556,0.0003847016,0.0010343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002778912,"about_ca_system_score_gemma":0.0001421741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004676009,"about_ca_topic_score_gemma":0.00008850623,"domain_scores_codex":[0.9985091,0.00006734231,0.0002418793,0.0006205741,0.0002316583,0.0003294075],"domain_scores_gemma":[0.9986584,0.00002013664,0.0001581056,0.001005996,0.00004108793,0.0001162503],"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":[0.00002609467,0.0001960491,4.620698e-7,0.0002716191,0.00002838927,0.00003264736,0.000002052941,0.000008190211,0.005382132,1.775961e-8,0.9939598,0.00009248111],"study_design_scores_gemma":[0.0002932851,0.0002764626,0.00000197176,0.00007928006,0.0000303231,0.00001183961,0.000006248556,0.000001000335,0.009700788,6.842888e-7,0.9891531,0.0004450394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001308066,0.001026922,2.551793e-7,0.00001233895,0.0002963546,0.0002103644,0.9981812,0.00001455461,0.0002449156],"genre_scores_gemma":[0.00002092042,0.00005672639,0.00001523288,0.0009614023,0.0005100457,0.0001437996,0.9977833,0.00004961077,0.0004589304],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6460079,"threshold_uncertainty_score":0.999877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03249907817154239,"score_gpt":0.2417786062502942,"score_spread":0.2092795280787518,"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."}}