{"id":"W2026807866","doi":"10.1038/nphys998","title":"In situ doping control of the surface of high-temperature superconductors","year":2008,"lang":"en","type":"article","venue":"Nature Physics","topic":"Physics of Superconductivity and Magnetism","field":"Physics and Astronomy","cited_by":211,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Basic Energy Sciences; Office of Science; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research; Alfred P. Sloan Foundation; U.S. Department of Energy","keywords":"Condensed matter physics; Fermi surface; Superconductivity; Angle-resolved photoemission spectroscopy; Doping; Cuprate; Physics; Photoemission spectroscopy; Quantum oscillations; Fermi liquid theory; Dopant; High-temperature superconductivity; Materials science; Electronic structure; X-ray photoelectron spectroscopy; Nuclear magnetic resonance","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":[0.000122028,0.000234695,0.000290011,0.0001440375,0.000286992,0.0008054467,0.0003499475,0.0003377027,0.001237009],"category_scores_gemma":[0.0002591066,0.0002084265,0.0001091669,0.0001743153,0.0004252603,0.0002917136,0.0003102678,0.0004006604,0.0001971048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003957955,"about_ca_system_score_gemma":0.0001313816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004610098,"about_ca_topic_score_gemma":0.0009156875,"domain_scores_codex":[0.9998721,0.00001510629,0.000006800224,0.00003043736,0.00004256427,0.00003303037],"domain_scores_gemma":[0.9998614,0.00003924754,0.00003874711,0.00002169064,0.00002072508,0.00001814893],"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":[0.00008053738,0.00001835834,0.0001334604,0.00003393922,0.000005275047,0.00002231898,0.00004892574,0.0001367594,0.9976323,0.0004506984,0.0000980058,0.001339459],"study_design_scores_gemma":[0.00001996534,0.00005897752,0.0006459713,0.00000327425,0.000006216434,0.00003243098,0.00005059599,0.002348879,0.9951497,0.0001323228,0.001546949,0.000004761817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947265,0.0003560248,0.001780841,0.0001640896,0.00008673129,0.000005674191,0.00005506607,0.00005563617,0.002769567],"genre_scores_gemma":[0.9978526,0.0001720029,0.0007203583,0.00002949398,0.00001921221,0.000004749599,0.00003145729,0.00003499983,0.001135212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001237009,"threshold_uncertainty_score":0.004138172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007683772982214726,"score_gpt":0.2182465005096784,"score_spread":0.2105627275274636,"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."}}