{"id":"W4236181331","doi":"10.2172/1375720","title":"Biological and Environmental Research Exascale Requirements Review. An Office of Science review sponsored jointly by Advanced Scientific Computing Research and Biological and Environmental Research, March 28-31, 2016, Rockville, Maryland","year":2016,"lang":"en","type":"report","venue":"","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Centre for Reproductive Medicine; University of Toronto","funders":"","keywords":"Transformative learning; Environmental research; Earth system science; Atmospheric research; Exascale computing; Portfolio; Biological sciences; Supercomputer; Computer science; Data science; Engineering; Environmental resource management; Environmental science; Sociology; Ecology; Geography; Meteorology; Business","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":[0.01559411,0.001334553,0.0009475942,0.002988811,0.00150117,0.004198185,0.002707567,0.002650397,0.04517347],"category_scores_gemma":[0.01609518,0.0006392219,0.0007417879,0.003469424,0.0007655414,0.004332427,0.002391525,0.00300543,0.05789829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003386734,"about_ca_system_score_gemma":0.02206012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01027275,"about_ca_topic_score_gemma":0.01614207,"domain_scores_codex":[0.9899866,0.0007838786,0.0004635114,0.0004214126,0.007661343,0.0006832404],"domain_scores_gemma":[0.9623101,0.002485252,0.001303826,0.001170964,0.0298333,0.002896445],"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":[0.00001848314,0.00002976291,0.0000975743,0.0004929779,0.000006196722,0.00003275234,0.00002437806,0.0001777995,0.001225613,0.004503916,0.8997921,0.09359849],"study_design_scores_gemma":[0.000002803315,0.000009365062,0.0001406091,0.0002224209,0.000003023435,0.00002237568,0.0000142838,0.00004612314,0.0002941182,0.0002938342,0.9989468,0.00000417353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.002464575,0.1838065,0.02531243,0.1331034,0.05568063,0.003437231,0.01942708,0.006142101,0.5706261],"genre_scores_gemma":[0.01180047,0.3055844,0.03257811,0.04021439,0.0102079,0.002217759,0.04208946,0.00416097,0.5511466],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04517347,"threshold_uncertainty_score":0.1511203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1828089823163314,"score_gpt":0.3913598648997851,"score_spread":0.2085508825834536,"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."}}