{"id":"W4394358977","doi":"10.6084/m9.figshare.21176030","title":"Additional file 1 of Combining single-cell RNA sequencing of peripheral blood mononuclear cells and exosomal transcriptome to reveal the cellular and genetic profiles in COPD","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Agriculture and Agri-Food Canada","funders":"","keywords":"Peripheral blood mononuclear cell; Transcriptome; RNA; Biology; Computational biology; Peripheral blood; Cell; Single-cell analysis; Immunology; Genetics; Gene; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001560241,0.001673355,0.001599258,0.001742173,0.0008499472,0.001971081,0.002122568,0.002112932,0.3730474],"category_scores_gemma":[0.00982799,0.000649058,0.001216209,0.002699312,0.0004100388,0.001101697,0.001343874,0.001487766,0.08556467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112991,"about_ca_system_score_gemma":0.002054437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007813815,"about_ca_topic_score_gemma":0.01690046,"domain_scores_codex":[0.9992883,0.0001133152,0.00009484141,0.0002784287,0.0001154065,0.0001097681],"domain_scores_gemma":[0.9955119,0.002973689,0.0003016233,0.0004574618,0.0005144126,0.0002407307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003197281,0.00008781411,0.003043253,0.003718259,0.0001503868,0.00008953081,0.00004696023,0.0008836619,0.0004838794,0.0007519135,0.9860016,0.004422936],"study_design_scores_gemma":[0.004447412,0.0002322711,0.02617632,0.002184945,0.0004464467,0.0006031858,0.0001812449,0.002204802,0.001745752,0.008073986,0.9535608,0.0001428153],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008577335,0.00002091365,0.00006415048,0.00002495214,0.000007075263,0.00001371897,0.9995679,0.00007819113,0.0001373422],"genre_scores_gemma":[0.00121361,0.00005499411,0.0005850604,0.0001344906,0.0000133435,0.0002812559,0.9969085,0.00009463486,0.0007141402],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3730474,"threshold_uncertainty_score":0.8942718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820077274323427,"score_gpt":0.2633190648707422,"score_spread":0.235118292127508,"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."}}