{"id":"W1537930344","doi":"10.1002/ddr.21211","title":"Opportunities and Challenges Provided by Cloud Repositories for Bioinformatics‐Enabled Drug Discovery","year":2014,"lang":"en","type":"article","venue":"Drug Development Research","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"","keywords":"Cloud computing; Data science; Computer science; Big data; Data curation; Process (computing); Data management; Data mining","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":[0.04594146,0.000355148,0.0008278775,0.003342465,0.006947788,0.02466246,0.00569643,0.01018128,0.00436039],"category_scores_gemma":[0.05435877,0.0006382978,0.001889011,0.005334378,0.007807385,0.03431274,0.008754036,0.009021124,0.001257061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007288001,"about_ca_system_score_gemma":0.02310845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01006846,"about_ca_topic_score_gemma":0.01781709,"domain_scores_codex":[0.9636229,0.01863988,0.002590761,0.001467902,0.01091989,0.002758697],"domain_scores_gemma":[0.8988774,0.06163493,0.006572132,0.009515427,0.01833058,0.005069477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007508275,0.00005260089,0.002559539,0.0003270892,0.00003858804,0.0007979608,0.001430878,0.001819962,0.0004381541,0.804392,0.1361495,0.05191857],"study_design_scores_gemma":[0.00005749723,0.00005123027,0.001239572,0.001387096,0.00004073709,0.001451915,0.003927477,0.01359698,0.001317761,0.2284469,0.7483422,0.0001405962],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.006512865,0.01388841,0.01556142,0.9435881,0.003923602,0.00008256613,0.0001833872,0.0001493202,0.01611029],"genre_scores_gemma":[0.4933275,0.08175404,0.08755314,0.2697762,0.04390555,0.0006124474,0.0008496769,0.0006035748,0.021618],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04594146,"threshold_uncertainty_score":0.2429646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2780948536326209,"score_gpt":0.39841421853324,"score_spread":0.1203193649006191,"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."}}