{"id":"W2807653522","doi":"10.1038/s41598-018-24736-x","title":"Magnetic Field Enhanced Superconductivity in Epitaxial Thin Film WTe2","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"2D Materials and Applications","field":"Materials Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Army Research Office; Division of Electrical, Communications and Cyber Systems; Division of Materials Research; High Magnetic Field Laboratory, Chinese Academy of Sciences; Office of Naval Research; Johns Hopkins University; Natural Sciences and Engineering Research Council of Canada; National High Magnetic Field Laboratory; U.S. Department of Energy; National Science Foundation","keywords":"Condensed matter physics; Superconductivity; Critical field; Magnetic field; Thin film; Molecular beam epitaxy; Materials science; Electrical resistivity and conductivity; Epitaxy; Physics; Nanotechnology; Layer (electronics); Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001503617,0.0001239768,0.0001804683,0.00009312291,0.0002910274,0.000353932,0.0002124812,0.00007769014,0.006259771],"category_scores_gemma":[0.0002625499,0.0001097858,0.00004295068,0.0003406907,0.0003749058,0.0003167787,0.0001250308,0.00006618301,0.0006300918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002491961,"about_ca_system_score_gemma":0.0001104549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003172548,"about_ca_topic_score_gemma":0.0003683066,"domain_scores_codex":[0.9980447,0.0000629051,0.0004468009,0.0007647618,0.0003052905,0.0003755337],"domain_scores_gemma":[0.9987394,0.00004093461,0.0001284901,0.000871656,0.0001294289,0.00009008775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006105241,0.00006072206,0.0001247049,0.000009570443,4.616846e-7,0.00002220427,0.0003741346,0.00000537027,0.9912574,0.0003631242,0.007272089,0.0005040977],"study_design_scores_gemma":[0.00006632243,0.00005652902,0.001208472,0.00002214673,0.000002999297,0.00002809101,0.00005806629,0.00003745154,0.9684231,0.02090429,0.009050287,0.0001422889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853898,0.00003214518,0.0002340617,0.000366996,0.008494076,0.000286684,0.000005493657,0.00008025115,0.005110548],"genre_scores_gemma":[0.9958199,0.000001729958,0.001281805,0.00007960568,0.0002139935,0.00006332716,0.000009063616,0.000009842346,0.002520785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02283436,"threshold_uncertainty_score":0.9946486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153243524258838,"score_gpt":0.2629923229286298,"score_spread":0.247667970502746,"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."}}