{"id":"W3023220159","doi":"10.2172/1616513","title":"Basic Research Needs Workshop on Synthesis Science for Energy Relevant Technology","year":2016,"lang":"en","type":"report","venue":"","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sandia National Laboratories; Brookhaven National Laboratory; Argonne National Laboratory; University of Dayton; University of Illinois at Urbana-Champaign; Pacific Northwest National Laboratory; Basic Energy Sciences; Advanced Research Projects Agency - Energy; Northwestern University; York University; Iowa State University; Drexel University; Washington State University; University of California, Los Angeles; State University of New York; Advanced Research Projects Agency; SLAC National Accelerator Laboratory; Harvard University; University of Limerick; U.S. Department of Energy; Brown University; Office of Science; Princeton University; Johns Hopkins University; Florida State University; National Science Foundation; Yale University; Massachusetts Institute of Technology","keywords":"SAFER; Computer science; Nanotechnology; Computer security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.006171951,0.00127361,0.0009070025,0.001597728,0.00226205,0.006841484,0.002518571,0.006324866,0.1424079],"category_scores_gemma":[0.006680777,0.00054807,0.001379841,0.001170275,0.002954816,0.01070049,0.005601783,0.009047766,0.06588039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004825557,"about_ca_system_score_gemma":0.008516294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001325745,"about_ca_topic_score_gemma":0.001898794,"domain_scores_codex":[0.9967243,0.0006016736,0.0001757335,0.0004753527,0.001469765,0.000553168],"domain_scores_gemma":[0.9946513,0.001039913,0.0001497468,0.0008646397,0.001997997,0.001296359],"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":[0.00006503589,0.0001666619,0.0001664151,0.0009234566,0.00002299049,0.0001412352,0.0003305172,0.0002144308,0.003736906,0.2730732,0.6151096,0.1060495],"study_design_scores_gemma":[0.000004863702,0.00002068139,0.00004538675,0.0002128968,0.000002801298,0.00005109948,0.0000949829,0.00004162285,0.0002867084,0.02271022,0.9765236,0.000005107534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001905368,0.09200783,0.01422484,0.2901165,0.08014523,0.0003926565,0.001065591,0.0007089405,0.5194331],"genre_scores_gemma":[0.03505524,0.1293661,0.02236364,0.1078494,0.03278451,0.0009435166,0.003016142,0.00107238,0.6675491],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1424079,"threshold_uncertainty_score":0.4764017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08560642775906009,"score_gpt":0.3979924000631214,"score_spread":0.3123859723040613,"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."}}