{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.007200892,0.004040425,0.001904467,0.001974226,0.005113353,0.006925897,0.008060544,0.007023992,0.6982484],"category_scores_gemma":[0.004833648,0.007896602,0.007035951,0.005277771,0.003837658,0.005796112,0.006248091,0.006518071,0.008130299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001196623,"about_ca_system_score_gemma":0.005042365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003757982,"about_ca_topic_score_gemma":0.004177982,"domain_scores_codex":[0.9676678,0.00175679,0.007247218,0.006841281,0.007222406,0.009264471],"domain_scores_gemma":[0.9748384,0.006575528,0.006653186,0.006842233,0.0007520219,0.004338665],"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":[0.00344327,0.001120254,0.00002132414,0.01160166,0.006853209,0.002840039,0.003277304,0.002346804,0.0528251,0.3336089,0.5771223,0.004939807],"study_design_scores_gemma":[0.005244421,0.003280048,0.00007161954,0.007658165,0.008392063,0.004269026,0.003395666,0.01393307,0.9221879,0.001063253,0.0232703,0.00723444],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4383235,0.01704284,0.002378217,0.001827857,0.01018943,0.000352712,0.002689812,0.001740604,0.5254551],"genre_scores_gemma":[0.9488935,0.01253892,0.004520843,0.004921981,0.01027621,0.00687215,0.006978302,0.004474512,0.0005236036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8693628,"threshold_uncertainty_score":0.9988734,"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."}}