{"id":"W216221754","doi":"10.2172/1025097","title":"EMSL Quarterly Highlights Report Second Quarter, Fiscal Year 2010 (January 1, 2010 through March 31, 2010)","year":2010,"lang":"en","type":"report","venue":"","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Energy; Biological and Environmental Research; National Science Foundation","keywords":"National laboratory; Quarter (Canadian coin); Fiscal year; Environmental research; Work (physics); Instrumentation (computer programming); Library science; Operations research; Engineering management; Data science; Environmental science; Computer science; Engineering; Environmental resource management; Geography; Business; Archaeology; Finance; Engineering physics; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005085434,0.001410835,0.0006678097,0.003808175,0.001976636,0.008354799,0.00223798,0.002283645,0.2207061],"category_scores_gemma":[0.01513263,0.0007060694,0.000448146,0.005217771,0.0003585626,0.003717128,0.001449953,0.001690856,0.2537976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007762111,"about_ca_system_score_gemma":0.01998908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.121069,"about_ca_topic_score_gemma":0.1110903,"domain_scores_codex":[0.9951201,0.0002658456,0.000320113,0.000301626,0.003488678,0.0005036544],"domain_scores_gemma":[0.9897168,0.0006792704,0.0008292306,0.0004070892,0.007402583,0.0009650383],"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":[0.00001804475,0.0000153459,0.0001505271,0.00002492642,8.6065e-7,0.000005841947,0.000006958914,0.00002579506,0.00001608782,0.0002896641,0.9960342,0.003411677],"study_design_scores_gemma":[0.00001990693,0.00002405583,0.003463197,0.00007145535,0.000004560919,0.00001657278,0.0001151114,0.00009494695,0.0002072638,0.0001791768,0.9957942,0.000009591936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00318766,0.001246484,0.0008067748,0.01960916,0.006540441,0.000851373,0.488118,0.002780665,0.4768595],"genre_scores_gemma":[0.006441882,0.002456422,0.0009447924,0.003410381,0.0008451298,0.001088489,0.2162828,0.0008581423,0.7676719],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2207061,"threshold_uncertainty_score":0.7383356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08440090146012201,"score_gpt":0.3581360192029817,"score_spread":0.2737351177428597,"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."}}