{"id":"W1964315675","doi":"10.1109/cibcb.2014.6845516","title":"MetaPathways v2.0: A master-worker model for environmental Pathway/Genome Database construction on grids and clouds","year":2014,"lang":"en","type":"article","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Tula Foundation; Compute Canada; Genome Canada","keywords":"Computer science; Graphical user interface; Visualization; Distributed computing; Cloud computing; Grid; User interface; Asynchronous communication; Modular design; Database; Data mining; Operating system; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002206894,0.00106924,0.000795863,0.0008673932,0.000962871,0.002532656,0.005417981,0.001095726,0.008825701],"category_scores_gemma":[0.003706038,0.001434477,0.001643559,0.0009651267,0.0008329529,0.002730798,0.002963802,0.002509768,0.004502383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001356998,"about_ca_system_score_gemma":0.003388073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008783682,"about_ca_topic_score_gemma":0.009741185,"domain_scores_codex":[0.9991461,0.0001395138,0.00007804782,0.0002234885,0.0002745607,0.0001383762],"domain_scores_gemma":[0.9984922,0.0003823727,0.00006256536,0.0006180012,0.0002119276,0.0002329392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002796185,0.0009496758,0.01788002,0.001102969,0.000388649,0.001047292,0.002109785,0.3688462,0.03582661,0.1679605,0.1394468,0.2616454],"study_design_scores_gemma":[0.0002684238,0.0001281819,0.001034438,0.00006601588,0.00005240056,0.0001602081,0.0001248576,0.8083879,0.01506395,0.04396629,0.1306562,0.00009116901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01242833,0.00009332336,0.9113859,0.000367735,0.00009287693,0.0004215495,0.002721072,0.06765357,0.004835675],"genre_scores_gemma":[0.1100348,0.0003740245,0.8573866,0.0002963787,0.0000453433,0.001331518,0.01049409,0.01091554,0.009121728],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008825701,"threshold_uncertainty_score":0.02952486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1306338315894432,"score_gpt":0.3074755902173819,"score_spread":0.1768417586279386,"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."}}