{"id":"W2946615957","doi":"10.1101/637892","title":"Gene expression signatures predict response to therapy with growth hormone","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Transcriptome; Pharmacogenomics; Computational biology; Biology; Gene; Bioinformatics; Gene expression; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.000288119,0.0001877446,0.0003751293,0.0004020375,0.00009260613,0.0004247074,0.00009989706,0.000250256,0.001463582],"category_scores_gemma":[0.0009741163,0.00005455597,0.0002514041,0.0004004175,0.0001119337,0.0001338744,0.0001356096,0.0002749955,0.0002706081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835055,"about_ca_system_score_gemma":0.0001206901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006197994,"about_ca_topic_score_gemma":0.0005234263,"domain_scores_codex":[0.9998946,0.00003227482,0.000008307185,0.00002469296,0.00002223682,0.00001777821],"domain_scores_gemma":[0.9994326,0.0003124491,0.000129359,0.00001770704,0.00005548898,0.00005223899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002587993,0.0001972576,0.8685102,0.0001063341,0.0001715188,0.0003006236,0.00008556829,0.00521555,0.08387657,0.0001205145,0.001503251,0.03732465],"study_design_scores_gemma":[0.00003229479,0.0005737057,0.9680456,0.00001529589,0.00007618708,0.0003183575,0.0001639149,0.02140325,0.008317924,0.0003980234,0.0006429773,0.00001246401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956205,0.0003701054,0.001535252,0.0001876527,0.00001543671,0.00001256193,0.001850953,0.00002854361,0.0003790265],"genre_scores_gemma":[0.9974028,0.00008533776,0.0009575079,0.00004996741,0.00001119653,0.00001228475,0.001282624,0.000004282146,0.0001939323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001463582,"threshold_uncertainty_score":0.004896224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222800314333719,"score_gpt":0.2199020636985616,"score_spread":0.2076740605552244,"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."}}