{"id":"W2115334654","doi":"10.1038/srep00547","title":"Pseudogap temperature as a Widom line in doped Mott insulators","year":2012,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Physics of Superconductivity and Magnetism","field":"Physics and Astronomy","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Regroupement Québécois sur les Matériaux de Pointe; Université de Sherbrooke","funders":"Division of Materials Research; Center for Ultracold Atoms, Massachusetts Institute of Technology; Department of Physics, Harvard University; Compute Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; National Science Foundation","keywords":"Pseudogap; Physics; Condensed matter physics; Phase diagram; Superconductivity; Hubbard model; Line (geometry); Symmetry breaking; Cuprate; Phase (matter); 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":[],"consensus_categories":[],"category_scores_codex":[0.0007153941,0.0001718638,0.0002091834,0.0001347222,0.0001963173,0.0001854398,0.0001203394,0.00005930261,0.0006235543],"category_scores_gemma":[0.00001979877,0.0001592104,0.0001004903,0.0005154488,0.0001483063,0.001997989,0.00009819531,0.0002561338,0.0001340679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002311021,"about_ca_system_score_gemma":0.0001270603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003528666,"about_ca_topic_score_gemma":0.000008447728,"domain_scores_codex":[0.9984118,0.00003836569,0.0003169822,0.0004617074,0.0003046371,0.0004665589],"domain_scores_gemma":[0.9990036,0.00001886304,0.0001107389,0.0006104188,0.0000657167,0.0001906313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002031339,0.002152682,0.1881316,0.00003838796,0.00007836631,0.0001518545,0.00510908,0.0001792953,0.7247415,0.05699511,0.01161402,0.01078777],"study_design_scores_gemma":[0.001166107,0.00008760107,0.0181405,0.0001442602,0.00006564814,0.0001278891,0.001831721,0.00007056961,0.3502586,0.5122349,0.1145642,0.001308022],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825209,0.0001362175,0.00003052505,0.0001431311,0.004612975,0.0002224942,0.000004876248,0.00003299024,0.01229591],"genre_scores_gemma":[0.9948032,6.885095e-7,0.0001385834,0.00003284444,0.0004820479,0.00002595205,0.00006612435,0.00001616467,0.00443442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4552397,"threshold_uncertainty_score":0.6827483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131450686972847,"score_gpt":0.2466586067181005,"score_spread":0.235344099848372,"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."}}