{"id":"W4232506671","doi":"10.1557/mrc.2016.40","title":"MRC volume 6 issue 3 Cover and Front matter","year":2016,"lang":"en","type":"article","venue":"MRS Communications","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Iowa State University; Sandia National Laboratories; University of California, Santa Barbara; University of Waterloo; University of New South Wales; École Polytechnique Fédérale de Lausanne; Division of Materials Research; Australian National University; University of Cambridge; Johns Hopkins University; Lawrence Berkeley National Laboratory; Northwestern University","keywords":"Front cover; Materials science; Volume (thermodynamics); Cover (algebra); Front (military); Content (measure theory); Process engineering; Mechanical engineering; Thermodynamics; Engineering; Physics; Mathematics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007093725,0.001052791,0.0007764043,0.002560518,0.001592733,0.004889184,0.001155493,0.00319045,0.8129508],"category_scores_gemma":[0.00274963,0.0004249494,0.0008546085,0.001439636,0.0007542195,0.001607509,0.002482259,0.001721748,0.7201175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751067,"about_ca_system_score_gemma":0.002030289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002580651,"about_ca_topic_score_gemma":0.00634835,"domain_scores_codex":[0.999126,0.00007203052,0.00003696818,0.0001458953,0.0004699205,0.0001492477],"domain_scores_gemma":[0.9980251,0.0002287122,0.0001351137,0.0002615452,0.0007032514,0.0006462999],"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":[0.00007241906,0.00003115071,0.0001244922,0.0002089807,0.000008108225,0.0001568962,0.00002105837,0.00007241505,0.001018792,0.001969621,0.9291489,0.06716722],"study_design_scores_gemma":[0.000007263153,0.00002290887,0.000546054,0.00007850635,0.000004213472,0.0001118951,0.00002306522,0.00003914336,0.000308144,0.0003943818,0.9984605,0.000003834303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001396311,0.003666609,0.0005678888,0.009899075,0.01964923,0.00008756301,0.001979434,0.001067604,0.9616862],"genre_scores_gemma":[0.002707376,0.001191461,0.0001779325,0.0006475705,0.003177536,0.00001378491,0.0005039528,0.0001962996,0.991384],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1870492,"threshold_uncertainty_score":0.2668028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04347382299681662,"score_gpt":0.2209790319408484,"score_spread":0.1775052089440317,"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."}}