{"id":"W2790250522","doi":"10.1371/journal.pone.0194701","title":"New drug candidates for treatment of atypical meningiomas: An integrated approach using gene expression signatures for drug repurposing","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Engineering and Physical Sciences Research Council; Medical Research Council; National Institute for Health and Care Research","keywords":"Drug repositioning; Verteporfin; Gene expression profiling; Drug; Gene expression; Approved drug; Serial analysis of gene expression; Biology; Drug development; Medicine; Cancer research; Gene; Bioinformatics; Pharmacology; 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":[0.0002626417,0.0006500754,0.0007571688,0.001946064,0.0002920991,0.0006861679,0.0003475222,0.0002435183,0.001315143],"category_scores_gemma":[0.000480973,0.0001636077,0.001344102,0.001347088,0.0001670994,0.00032521,0.0003925481,0.0004241285,0.000229629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000569812,"about_ca_system_score_gemma":0.0008565827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001219661,"about_ca_topic_score_gemma":0.002923489,"domain_scores_codex":[0.9998541,0.00002583922,0.000009090807,0.00003950697,0.00005076328,0.00002068317],"domain_scores_gemma":[0.9998438,0.00005898206,0.00003961481,0.00001138928,0.00002907184,0.00001717149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001855882,0.000811205,0.05262775,0.001919732,0.0009612603,0.0009330121,0.0001787386,0.1579418,0.3856981,0.004544721,0.003582363,0.3889453],"study_design_scores_gemma":[0.0001704475,0.002268236,0.05960962,0.0001176741,0.001789522,0.001097804,0.0003533736,0.7613645,0.139688,0.01163968,0.02177168,0.0001294866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7566077,0.007832984,0.2141663,0.001337761,0.00008703236,0.0007301829,0.009930208,0.002679077,0.006628762],"genre_scores_gemma":[0.7686859,0.004611677,0.2159531,0.0003286901,0.00005338462,0.0005250088,0.008340174,0.0001158197,0.001386277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001946064,"threshold_uncertainty_score":0.004399598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08172121122887722,"score_gpt":0.2973554692143335,"score_spread":0.2156342579854563,"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."}}