{"id":"W2067146792","doi":"10.1038/nrd4615","title":"From silos to systems: an integrated approach to neuroscience innovation","year":2015,"lang":"en","type":"review","venue":"Nature Reviews Drug Discovery","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Brain Institute","funders":"","keywords":"Neuroscience; Information silo; Drug discovery; Computational biology; Computer science; Business; Biology; Bioinformatics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001831151,0.001026958,0.002373195,0.001356073,0.000307103,0.00136687,0.002027326,0.0004966293,0.00001219944],"category_scores_gemma":[0.007716269,0.0007365334,0.0003410843,0.01199094,0.0001452345,0.001875006,0.0003218932,0.001951325,0.0007908241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005194022,"about_ca_system_score_gemma":0.001327677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004705896,"about_ca_topic_score_gemma":0.000003533022,"domain_scores_codex":[0.9910212,0.002293301,0.001659982,0.002986397,0.001349532,0.0006896278],"domain_scores_gemma":[0.9961659,0.0002597156,0.001043157,0.001514603,0.0004456492,0.0005709198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002439538,0.0006686412,0.000001130158,0.003534656,0.000004574689,0.00000888313,0.0003274361,0.00002781709,0.0009384337,0.00372727,0.05722155,0.9335152],"study_design_scores_gemma":[0.00008283841,0.00009288329,0.000002409128,0.005398036,0.0001390586,0.00003826947,0.00011416,0.00004021269,0.0000713297,0.00003939259,0.9932015,0.0007798977],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001108692,0.9732425,0.003569215,0.0001287457,0.01090788,0.007427382,0.0008105927,0.0002191803,0.003583592],"genre_scores_gemma":[0.000199119,0.9808968,0.0002605576,0.009103793,0.001304255,0.00166046,0.0004937502,0.0001250891,0.005956119],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.93598,"threshold_uncertainty_score":0.9999872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1248956199976269,"score_gpt":0.388504134722701,"score_spread":0.263608514725074,"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."}}