{"id":"W4403809182","doi":"10.1103/physrevb.111.195426","title":"Efficiency of band edge optical transitions of two-dimensional monolayer materials: A high-throughput computational study","year":2025,"lang":"en","type":"preprint","venue":"Physical review. B./Physical review. B","topic":"Semiconductor Quantum Structures and Devices","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; Technische Universität Wien; Mitacs","keywords":"Monolayer; Enhanced Data Rates for GSM Evolution; Materials science; Chemical physics; Crystallography; Optoelectronics; Nanotechnology; Chemistry; Computer science; Telecommunications","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":[0.001139393,0.0007039197,0.001425922,0.001007071,0.00103214,0.001480475,0.001475725,0.001816321,0.002097895],"category_scores_gemma":[0.002967921,0.0006489711,0.001094337,0.001264983,0.0008925322,0.0009386427,0.0007094631,0.0009376768,0.0002016641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291397,"about_ca_system_score_gemma":0.00128517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0173389,"about_ca_topic_score_gemma":0.01546888,"domain_scores_codex":[0.999762,0.00009150274,0.00001211131,0.00002922398,0.00004928766,0.00005574466],"domain_scores_gemma":[0.9981635,0.001427868,0.00008367436,0.0001092206,0.0001405836,0.00007522958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001013367,0.0001535323,0.003245808,0.0001439653,0.000114575,0.00016652,0.0000330605,0.9895924,0.0006693276,0.003181526,0.0005103329,0.002087701],"study_design_scores_gemma":[0.00003508965,0.0000284196,0.0005320227,0.000007373428,0.00001495391,0.000009772976,0.00003257401,0.9983279,0.0002464317,0.0006442293,0.0001161566,0.000005089201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849852,0.0005712926,0.00626842,0.00066227,0.00003618723,0.00005030581,0.001099473,0.0001619607,0.006164852],"genre_scores_gemma":[0.9883003,0.0002799258,0.009390213,0.0001702918,0.00002631141,0.0001260428,0.0008572227,0.00005193711,0.0007978525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0173389,"threshold_uncertainty_score":0.03447598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02215710238780636,"score_gpt":0.3867455533655184,"score_spread":0.364588450977712,"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."}}