{"id":"W2808439047","doi":"10.1093/hmg/ddy221","title":"Transcriptomic RNAseq drug screen in cerebrocortical cultures: toward novel neurogenetic disease therapies","year":2018,"lang":"en","type":"article","venue":"Human Molecular Genetics","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Canadian Institutes of Health Research; Ontario Genomics Institute","keywords":"Transcriptome; Biology; Drug discovery; Disease; Drug; Gene; Gene expression; Gene expression profiling; Drug repositioning; Drug development; Computational biology; Genetics; Bioinformatics; Pharmacology; Medicine; Pathology","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":[0.0006445447,0.0005966611,0.000934013,0.0009087984,0.0003275709,0.0008661564,0.0004496211,0.0003510912,0.001305599],"category_scores_gemma":[0.0005825881,0.0002035238,0.0004856664,0.000795454,0.0003160902,0.0002574572,0.0003412135,0.000542262,0.0009153133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004141173,"about_ca_system_score_gemma":0.0005361499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007197624,"about_ca_topic_score_gemma":0.002037042,"domain_scores_codex":[0.9994869,0.00009773639,0.00004587991,0.0001251085,0.0002012957,0.00004313588],"domain_scores_gemma":[0.9996635,0.0001187884,0.00007240097,0.00005022148,0.00006041786,0.00003461795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000845594,0.00001904532,0.000734621,0.00008470371,0.00001518257,0.00008159171,0.00001782,0.0003275345,0.9913925,0.0001322576,0.000267359,0.006842937],"study_design_scores_gemma":[0.00002794525,0.0003188553,0.008851852,0.00002540176,0.0001162423,0.0007075949,0.00006303831,0.006327642,0.9701658,0.0005079655,0.01286362,0.00002400577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7255254,0.01235651,0.208918,0.001154073,0.0001443627,0.0005803001,0.0397436,0.004225056,0.007352798],"genre_scores_gemma":[0.7311924,0.01654051,0.1948009,0.001081206,0.00009814955,0.0007971079,0.0491975,0.0005261071,0.005766114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001305599,"threshold_uncertainty_score":0.004367709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0203063494175209,"score_gpt":0.300172360998356,"score_spread":0.2798660115808351,"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."}}