{"id":"W2607369389","doi":"10.1103/physrevb.96.075103","title":"Thermal and electrical transport in metals and superconductors across antiferromagnetic and topological quantum transitions","year":2017,"lang":"en","type":"article","venue":"Physical review. B./Physical review. B","topic":"Physics of Superconductivity and Magnetism","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"Army Research Office; Erwin Schrödinger International Institute for Mathematics and Physics; National Science Foundation; Government of Canada; Industry Canada; Ontario Ministry of Economic Development and Innovation; Cenovus Energy","keywords":"Condensed matter physics; Antiferromagnetism; Superconductivity; Fermi surface; Quantum critical point; Scattering; Physics; Quantum phase transition; Doping; Quantum; Phase transition; Materials science; 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":[0.0001837448,0.0002575404,0.0002801527,0.0005185051,0.0003052526,0.0004281817,0.0004582756,0.0004037892,0.0006256158],"category_scores_gemma":[0.0004066777,0.0001121556,0.0002680764,0.0005163028,0.0007322612,0.0006017972,0.0003052549,0.0002108356,0.0001701626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003697762,"about_ca_system_score_gemma":0.000201223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006406835,"about_ca_topic_score_gemma":0.0008480811,"domain_scores_codex":[0.9999495,0.00001254488,0.00000279324,0.000007740694,0.00001477614,0.00001276746],"domain_scores_gemma":[0.9999168,0.0000260719,0.00002506377,0.0000094395,0.00001451535,0.000008174819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003052648,0.0002002852,0.006145378,0.001969203,0.0002266527,0.001147824,0.0005240401,0.09555356,0.1514727,0.6236089,0.00529259,0.1135537],"study_design_scores_gemma":[0.0001068006,0.0008617486,0.0261996,0.0003515616,0.0003651075,0.002385871,0.0007957713,0.2909194,0.06766929,0.540063,0.07014176,0.0001400655],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8664147,0.08690979,0.01443703,0.00183718,0.0004156157,0.00002566933,0.00006904616,0.0001361236,0.02975489],"genre_scores_gemma":[0.9694047,0.02434437,0.00295448,0.00009617623,0.0001342949,0.0000220151,0.00005388216,0.00001850197,0.002971682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006406835,"threshold_uncertainty_score":0.002682924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02965577354869547,"score_gpt":0.365946843652677,"score_spread":0.3362910701039816,"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."}}