{"id":"W4394158239","doi":"10.6084/m9.figshare.22601792","title":"Additional file 12 of Single-cell transcriptomics highlights immunological dysregulations of monocytes in the pathobiology of COPD","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"IL-33, ST2, and ILC Pathways","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Transcriptome; COPD; Computational biology; Monocyte; Cell; Microbiology; Biology; Computer science; Immunology; Medicine; Genetics; Gene; Gene expression; Internal medicine","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007467774,0.000291744,0.0007088702,0.000244286,0.00007595769,0.000004283059,0.000767332,0.001064756,0.6563465],"category_scores_gemma":[0.00114857,0.0002170847,0.0002458627,0.0002798858,0.0001850006,0.00004345062,0.0001247305,0.0004980631,0.002235729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002944998,"about_ca_system_score_gemma":0.0002265244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007659916,"about_ca_topic_score_gemma":0.0002705076,"domain_scores_codex":[0.9981913,0.0003649773,0.0007376775,0.0003245276,0.00006640534,0.0003151293],"domain_scores_gemma":[0.995737,0.00293438,0.0006192941,0.0005208877,0.0001772378,0.0000112562],"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":[0.00006683512,0.0003983699,3.240361e-7,0.0003567092,0.00008753664,0.00000750276,0.0001037344,0.000003629325,0.006295621,0.00001702012,0.9926172,0.00004546364],"study_design_scores_gemma":[0.0004838679,0.0003820473,0.0006551338,0.001206567,0.00004000964,0.0000179146,0.000102955,6.635489e-7,0.004538807,0.00005328357,0.9923236,0.0001951556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005335911,0.0006277403,1.083756e-7,0.00001376771,0.0001709195,0.0003335052,0.998422,0.00002138376,0.0003572344],"genre_scores_gemma":[0.000475246,0.00007294819,0.00001999602,0.00003349815,0.00003882838,0.0003529693,0.998642,0.00001613372,0.0003483476],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6541108,"threshold_uncertainty_score":0.9985411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04760865001772112,"score_gpt":0.2246587637664545,"score_spread":0.1770501137487334,"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."}}