{"id":"W2087682876","doi":"10.1103/physrevlett.111.037205","title":"Hidden Quasiparticles and Incoherent Photoemission Spectra in<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msub><mml:mi>Na</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi>IrO</mml:mi><mml:mn>3</mml:mn></mml:msub></mml:math>","year":2013,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Advanced Condensed Matter Physics","field":"Physics and Astronomy","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Physics; Zigzag; Quasiparticle; Spectral line; Pseudogap; Cuprate; Condensed matter physics; Energy (signal processing); Quantum mechanics; Superconductivity","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000149943,0.0003039942,0.0001911316,0.0004871944,0.0003791353,0.0008177813,0.0005673011,0.0004486093,0.003201318],"category_scores_gemma":[0.0003298029,0.0002039941,0.00025641,0.0002845451,0.0007199551,0.0006741844,0.000334757,0.0005693582,0.0002295387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002348822,"about_ca_system_score_gemma":0.0001518066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005846619,"about_ca_topic_score_gemma":0.001009775,"domain_scores_codex":[0.9999334,0.00001571014,0.000002875099,0.0000108818,0.00002129817,0.00001589777],"domain_scores_gemma":[0.9998502,0.0000570124,0.00003243284,0.00002672069,0.00001598242,0.00001775323],"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":[0.0004081979,0.0002751238,0.003218465,0.0003145257,0.00005981467,0.001055383,0.0008729952,0.04320509,0.2954722,0.6401988,0.002265448,0.01265389],"study_design_scores_gemma":[0.00006401477,0.0001416229,0.006882289,0.00003427029,0.00002592134,0.0004442006,0.0003476132,0.7631056,0.06600339,0.1618623,0.001025823,0.00006299106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669252,0.0002710254,0.02311991,0.0002242891,0.00003335172,0.00001249053,0.00007680606,0.0002000535,0.009136965],"genre_scores_gemma":[0.9947537,0.00007391944,0.003639107,0.00002649537,0.00000452425,0.00001094093,0.00004926844,0.00004436217,0.001397624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003201318,"threshold_uncertainty_score":0.01070946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01589017443904292,"score_gpt":0.2538723884380525,"score_spread":0.2379822139990096,"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."}}