{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005624523,0.0001785336,0.0001564511,0.0002175274,0.0001228752,0.0002590883,0.0001232794,0.0001258374,0.0008531997],"category_scores_gemma":[0.0001956238,0.0001668253,0.00006617736,0.0001731471,0.0002373113,0.0001643598,0.0001410132,0.0001794581,0.0001103021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001248504,"about_ca_system_score_gemma":0.00009202206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009859913,"about_ca_topic_score_gemma":0.001829048,"domain_scores_codex":[0.9999512,0.000004929033,0.00000313402,0.000009843219,0.00001805424,0.00001291512],"domain_scores_gemma":[0.9998899,0.00002311739,0.00003288104,0.00001126429,0.00002772233,0.00001513],"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":[0.00003163778,0.000005871034,0.0006034613,0.00001771376,0.000003507456,0.0000644356,0.00001484749,0.00006509519,0.9988039,0.00007085206,0.00002244613,0.0002964057],"study_design_scores_gemma":[0.00001041598,0.0000628875,0.01108881,0.000003967148,0.000007882908,0.0001206312,0.00003447542,0.001871099,0.9862677,0.00004478921,0.0004830246,0.000004304007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992726,0.00008097481,0.0001763228,0.00001106376,0.000003523351,0.000001332106,0.00003648679,0.00001180186,0.0004058039],"genre_scores_gemma":[0.9990115,0.00006661129,0.000306471,0.000006346551,0.000002825115,0.000002712811,0.00006257009,0.000006304709,0.0005346165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009859913,"threshold_uncertainty_score":0.002854288,"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."}}