{"id":"W4381167318","doi":"10.1101/2023.06.16.545337","title":"The Transcriptomics Pain Signature Database","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Pfizer Canada; Canada Excellence Research Chairs, Government of Canada; Pfizer","keywords":"Transcriptome; Dorsal root ganglion; Computational biology; Gene; Biology; Computer science; Bioinformatics; Gene expression; Genetics; Neuroscience; Spinal cord","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001249558,0.001990043,0.00162461,0.003889914,0.0006729821,0.00202452,0.002440957,0.001308929,0.02613075],"category_scores_gemma":[0.002615411,0.0006903813,0.001067012,0.004684285,0.0003029798,0.001071866,0.00214708,0.001658017,0.02277025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006239759,"about_ca_system_score_gemma":0.001737471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001173163,"about_ca_topic_score_gemma":0.00147771,"domain_scores_codex":[0.9989899,0.0001199757,0.0002008696,0.0003028001,0.0002961332,0.00009022891],"domain_scores_gemma":[0.9988979,0.0002508507,0.0001917166,0.0003166502,0.0001935876,0.00014917],"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":[0.003883778,0.0003870127,0.01127118,0.007603807,0.0007473163,0.002698383,0.0002863806,0.00711938,0.1669059,0.02009089,0.6063846,0.1726213],"study_design_scores_gemma":[0.001146518,0.0004307305,0.03146201,0.0005459298,0.0004666134,0.003647037,0.0001720605,0.0248577,0.05449867,0.03587755,0.8466359,0.0002592106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007875485,0.001644181,0.0438612,0.0003197312,0.000137437,0.0002857058,0.9085184,0.03123352,0.006124407],"genre_scores_gemma":[0.011853,0.0007356048,0.02866136,0.000255876,0.00005514635,0.0005746535,0.9550726,0.00122862,0.001563087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02613075,"threshold_uncertainty_score":0.08741611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388490955473519,"score_gpt":0.247862040009194,"score_spread":0.2239771304544589,"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."}}