{"id":"W1630410517","doi":"10.1038/523149a","title":"Data analysis: Create a cloud commons","year":2015,"lang":"pl","type":"article","venue":"Nature","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Institute of Cancer Research; Ontario Institute for Cancer Research","funders":"","keywords":"Cloud computing; Commons; Computer science; Data science; World Wide Web; Operating system; Biology; Ecology","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","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.001304587,0.0003540321,0.00047855,0.000212801,0.0001255572,0.0001759477,0.00216111,0.003596437,0.00009096634],"category_scores_gemma":[0.001454081,0.0002959677,0.0002396474,0.0008276844,0.0003887068,0.00001163312,0.001949689,0.002413995,0.0002126389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004320409,"about_ca_system_score_gemma":0.0006914363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007232237,"about_ca_topic_score_gemma":0.0007567506,"domain_scores_codex":[0.9968228,0.0001845463,0.0005218503,0.0007465051,0.0009761893,0.0007481297],"domain_scores_gemma":[0.9957604,0.00004168526,0.0001753944,0.00262472,0.0005006891,0.0008971401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004576051,0.0004700894,0.006000554,0.000189495,0.003919029,0.00005442905,0.0003515926,0.00004327012,0.002845432,0.0001455234,0.9727457,0.01277728],"study_design_scores_gemma":[0.001287477,0.0005228795,0.001650351,0.00003284229,0.001017219,0.00001480589,0.0005749658,0.005332439,0.003157993,0.0001364182,0.985792,0.0004805411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4795929,0.2575848,0.01475624,0.05249793,0.0139781,0.003566899,0.03633923,0.0002497141,0.1414343],"genre_scores_gemma":[0.9720216,0.002772808,0.001971341,0.002123869,0.001924968,0.000006454073,0.01192223,0.00003500214,0.007221707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4924287,"threshold_uncertainty_score":0.9999492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04160162977298278,"score_gpt":0.3444467327796079,"score_spread":0.3028451030066251,"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."}}