{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001236219,0.0001270105,0.0001840236,0.00057027,0.0003824603,0.0007973805,0.0003949154,0.0004067464,0.0007617431],"category_scores_gemma":[0.0007233146,0.000181159,0.0001496983,0.0002390036,0.0007613047,0.0007184641,0.0003650918,0.000447266,0.00007511164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002665457,"about_ca_system_score_gemma":0.0001467282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002156352,"about_ca_topic_score_gemma":0.0002643019,"domain_scores_codex":[0.999941,0.00001356143,0.000002592395,0.000009837281,0.00002036226,0.00001259876],"domain_scores_gemma":[0.9998145,0.00005851073,0.00005986589,0.00002279852,0.00001754427,0.00002694649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000964841,0.0003114004,0.01389057,0.0002231158,0.00004683876,0.001409487,0.001279404,0.02049134,0.4092463,0.5356031,0.001752351,0.01478125],"study_design_scores_gemma":[0.0001650474,0.0008724023,0.02453846,0.0001066911,0.00003653018,0.001808675,0.0006053683,0.546179,0.1086043,0.311915,0.005069547,0.00009896221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915305,0.0001969787,0.004878864,0.000168934,0.00002161631,0.000008472492,0.00003517213,0.0001517952,0.003007552],"genre_scores_gemma":[0.9982493,0.00003577014,0.001363913,0.00001825328,0.000005503549,0.000007914937,0.00001932234,0.0000112177,0.000288827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007973805,"threshold_uncertainty_score":0.002548277,"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."}}