{"id":"W201100121","doi":"10.1103/physrevlett.92.157005","title":"Nodal Order Parameter in Electron-Doped<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msub><mml:mrow><mml:mi>Pr</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mo>−</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>Ce</mml:mi></mml:mrow><mml:mi>x</mml:mi></mml:msub><mml:msub><mml:mrow><mml:mi>CuO</mml:mi></mml:mrow><mml:mrow><mml:mn>4</mml:mn><mml:mo>−</mml:mo><mml:mi>δ</mml:mi></mml:mrow></mml:msub></mml:math>Superconducting Films","year":2004,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Physics of Superconductivity and Magnetism","field":"Physics and Astronomy","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Doping; Physics; Superconductivity; Order (exchange); Penetration depth; London penetration depth; Condensed matter physics; Materials science; Analytical Chemistry (journal); Optics; Chemistry","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":[0.0001733597,0.0002514398,0.0003553805,0.0005934015,0.000598824,0.001543391,0.0006931591,0.0005222617,0.02017578],"category_scores_gemma":[0.000635836,0.0002731638,0.0002119726,0.0003391849,0.0005635864,0.0009367959,0.0003427988,0.0006581142,0.001878983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001675683,"about_ca_system_score_gemma":0.0005617536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009163572,"about_ca_topic_score_gemma":0.01833024,"domain_scores_codex":[0.9998956,0.00001733711,0.000004277026,0.00001647801,0.00003848226,0.00002786419],"domain_scores_gemma":[0.9998498,0.00004367074,0.0000138605,0.00002538438,0.00003995374,0.00002733439],"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":[0.0005042387,0.00006810268,0.001137163,0.0006018981,0.00004470783,0.0006603934,0.0005355164,0.02536173,0.1113407,0.8159645,0.03151703,0.0122641],"study_design_scores_gemma":[0.0001556308,0.0002049296,0.007623381,0.0002452742,0.0000555381,0.000536781,0.0009916201,0.5938611,0.1284063,0.2165662,0.05116096,0.000192299],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7015844,0.002885338,0.03473309,0.002534838,0.0006752117,0.00006560817,0.001892996,0.001056069,0.2545725],"genre_scores_gemma":[0.9210693,0.0008349011,0.007282626,0.0001434646,0.0000397047,0.00005090179,0.001242771,0.0006804306,0.06865584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02017578,"threshold_uncertainty_score":0.06749475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910152241248226,"score_gpt":0.2503596204753922,"score_spread":0.23125809806291,"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."}}