{"id":"W1997250998","doi":"10.2174/138620711797537085","title":"Cloud Computing Approaches to Accelerate Drug Discovery Value Chain","year":2011,"lang":"en","type":"review","venue":"Combinatorial Chemistry & High Throughput Screening","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Food and Drug Administration; Ontario Institute for Cancer Research","keywords":"Cloud computing; Computer science; Flexibility (engineering); Identification (biology); Data science; Terabyte; Software; Utility computing; Data mining; Distributed computing; Risk analysis (engineering); Cloud computing security; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.001726056,0.0008701883,0.0009238247,0.002189538,0.0006129561,0.003370237,0.002337065,0.001675098,0.006220941],"category_scores_gemma":[0.002185425,0.0003514415,0.0007091877,0.005008561,0.001468263,0.004674611,0.002040023,0.00324443,0.002756297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003554194,"about_ca_system_score_gemma":0.003448225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003016475,"about_ca_topic_score_gemma":0.00237973,"domain_scores_codex":[0.9990528,0.0002599533,0.00004299163,0.00008831503,0.0004629611,0.00009302377],"domain_scores_gemma":[0.9990545,0.0004114247,0.00008021803,0.000093918,0.0002733927,0.00008643704],"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":[0.00007541919,0.0001018126,0.0002841701,0.002686135,0.0001018895,0.0002934791,0.0001019669,0.01015207,0.001171212,0.3116145,0.04252434,0.6308931],"study_design_scores_gemma":[0.00003813459,0.00006310657,0.0003493466,0.001420699,0.00003899156,0.0003923257,0.00008759007,0.006240343,0.001428383,0.1242656,0.8656434,0.00003202492],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002193984,0.8486817,0.04572345,0.01806095,0.002063696,0.0002067328,0.0001776071,0.000377898,0.08251397],"genre_scores_gemma":[0.04414156,0.9021426,0.03251863,0.002616908,0.001632735,0.0002185267,0.0002003805,0.00006299411,0.01646569],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006220941,"threshold_uncertainty_score":0.02578759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028528357006021,"score_gpt":0.3099964008494792,"score_spread":0.207143565148877,"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."}}