{"id":"W4399116123","doi":"10.48550/arxiv.2405.16910","title":"Temperature evolution of the Fermi surface of the FeSe monolayer on SrTiO$_3$","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Iron-based superconductors research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Monolayer; Condensed matter physics; Fermi surface; Fermi Gamma-ray Space Telescope; Surface (topology); Materials science; Physics; Nanotechnology; Mathematics; Superconductivity; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005148798,0.0002725412,0.0003198124,0.0001339749,0.0001766179,0.00004891806,0.00176248,0.0003902076,0.0003429461],"category_scores_gemma":[0.0001287019,0.00017744,0.0003461893,0.0007939173,0.0003869021,0.0000998879,0.002225812,0.001123339,0.0001165529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005697894,"about_ca_system_score_gemma":0.0007467924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062699,"about_ca_topic_score_gemma":0.0001244882,"domain_scores_codex":[0.9978279,0.0005479666,0.0002463358,0.0007246617,0.0003292384,0.0003239252],"domain_scores_gemma":[0.9976996,0.0001366834,0.000176371,0.001638137,0.0002805936,0.00006857697],"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":[0.00009554093,0.0001044632,0.005160403,0.0003543255,0.00004008823,0.00001497819,0.0003159788,0.1449847,0.8327808,0.0152502,0.0008948453,0.000003689448],"study_design_scores_gemma":[0.0004246485,0.00008404604,0.01297273,0.0008039656,0.0001653577,0.000002806836,0.000968038,0.007202813,0.9624149,0.0144668,0.00008166944,0.0004122182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960001,0.0001490879,0.00001801194,0.0002415303,0.001361407,0.0005653994,0.0001691082,0.00004514835,0.001450229],"genre_scores_gemma":[0.9962214,0.00002321072,0.00001347696,0.0000199912,0.0000528679,8.252639e-7,0.00000265277,0.000027477,0.003638122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1377819,"threshold_uncertainty_score":0.7235794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05751428379886054,"score_gpt":0.2036781250776934,"score_spread":0.1461638412788328,"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."}}