{"id":"W4404090263","doi":"10.1103/physrevapplied.22.054015","title":"<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\" overflow=\"scroll\"> <mml:msub> <mml:mi>Yb</mml:mi> <mml:mn>2</mml:mn> </mml:msub> <mml:msub> <mml:mrow> <mml:mrow> <mml:mi mathvariant=\"normal\">O</mml:mi> </mml:mrow> </mml:mrow> <mml:mn>3</mml:mn> </mml:msub> <mml:mo>/</mml:mo> <mml:msub> <mml:mrow> <mml:mi>Mo</mml:mi> <mml:mi mathvariant=\"normal\">O</mml:mi> </mml:mrow> <mml:mn>3</mml:mn> </mml:msub> </mml:math> connecting electrodes for tandem organic semiconductor devices","year":2024,"lang":"lv","type":"article","venue":"Physical Review Applied","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Yunnan Provincial Department of Education","keywords":"Scroll; Algorithm; Computer science; Physics; Philosophy; Theology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005926201,0.001454189,0.0006021836,0.001580455,0.001231833,0.004204667,0.002276961,0.001676348,0.466908],"category_scores_gemma":[0.001581562,0.0009054103,0.0008749057,0.001622989,0.0006180121,0.002824205,0.00133789,0.001770604,0.3278481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002474426,"about_ca_system_score_gemma":0.001116132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008570441,"about_ca_topic_score_gemma":0.01753621,"domain_scores_codex":[0.9995515,0.00005821969,0.00003342223,0.00006710721,0.0002267838,0.0000630287],"domain_scores_gemma":[0.9995146,0.0001198362,0.00003962352,0.0001696524,0.0001120676,0.00004407716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001305633,0.00007713549,0.0002032791,0.0003695047,0.00002330776,0.0001738345,0.0001468509,0.001054505,0.02188732,0.03563156,0.8457261,0.09457594],"study_design_scores_gemma":[0.0000336391,0.00002519282,0.000417655,0.00005419033,0.000009952342,0.0001641505,0.00006392529,0.003481909,0.04429434,0.005588016,0.9458167,0.00005033465],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005796197,0.0004193869,0.1665746,0.002638335,0.001515536,0.0004746021,0.0553867,0.1567717,0.610423],"genre_scores_gemma":[0.03425239,0.001333083,0.09990069,0.001942399,0.0002197492,0.000536615,0.07085842,0.0623897,0.728567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.466908,"threshold_uncertainty_score":0.760391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723949233264742,"score_gpt":0.2466135648549027,"score_spread":0.2293740725222552,"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."}}