{"id":"W591730751","doi":"10.1371/journal.pbio.1002164","title":"Open Access Target Validation Is a More Efficient Way to Accelerate Drug Discovery","year":2015,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministero dello Sviluppo Economico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Ontario Ministry of Economic Development and Innovation; Wellcome Trust; Genome Canada; CHDI Foundation; Innovative Medicines Initiative; GlaxoSmithKline; Pfizer; Eli Lilly and Company","keywords":"Drug discovery; General partnership; Incentive; Scarcity; Biology; Process (computing); Data science; Business; Computer science; Bioinformatics; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.1043453,0.001362725,0.003508086,0.004104488,0.001780407,0.01269951,0.003452234,0.00514346,0.034975],"category_scores_gemma":[0.08845301,0.001280938,0.002666665,0.002969029,0.006374914,0.01917954,0.01369667,0.009347453,0.01762644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003363678,"about_ca_system_score_gemma":0.010258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001161814,"about_ca_topic_score_gemma":0.001043492,"domain_scores_codex":[0.9363559,0.02960587,0.002867639,0.005582786,0.02305956,0.002528069],"domain_scores_gemma":[0.8339506,0.05901081,0.01468848,0.06606562,0.02013273,0.006151676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001765822,0.001040296,0.007135401,0.001489886,0.0005557727,0.0005422878,0.001189626,0.008470029,0.02538156,0.3887432,0.06365354,0.5000326],"study_design_scores_gemma":[0.000668281,0.001438478,0.003646332,0.0007035356,0.000181512,0.001012677,0.000453689,0.01035904,0.02018109,0.3020873,0.6590115,0.0002565513],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02839621,0.01473457,0.7311434,0.08022103,0.004846436,0.001609734,0.002610255,0.009550782,0.1268876],"genre_scores_gemma":[0.4495496,0.01534071,0.454515,0.02296493,0.004450132,0.001657111,0.005121362,0.003655252,0.0427459],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9965478,"threshold_uncertainty_score":0.5518374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06445218054785974,"score_gpt":0.3545875644790109,"score_spread":0.2901353839311512,"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."}}