{"id":"W3111936966","doi":"10.1038/s41598-021-86597-1","title":"Programmable Nonreciprocal Meta-Prism","year":2021,"lang":"en","type":"preprint","venue":"Scientific Reports","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Prism; Optics; Amplifier; Holography; Physics; Refraction; Transmission (telecommunications); Metamaterial; Electrical engineering; Optoelectronics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006806293,0.0004984945,0.001209235,0.0001434901,0.0006267205,0.004297875,0.0006654384,0.0003533372,0.006955044],"category_scores_gemma":[0.0002761526,0.0003989139,0.0006547628,0.0003140596,0.0004210633,0.0002426336,0.001476998,0.0003554153,0.0003507789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007382403,"about_ca_system_score_gemma":0.0008882722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002687782,"about_ca_topic_score_gemma":0.00006376908,"domain_scores_codex":[0.9935971,0.0002699456,0.001441013,0.002706424,0.001262719,0.0007227599],"domain_scores_gemma":[0.9940699,0.00004034546,0.001238972,0.003845243,0.0004873698,0.0003181422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003335327,0.0001735761,0.00001663483,0.0001649707,0.0002187285,0.0002730364,0.000259676,0.000348918,0.9886436,0.00006497232,0.008747955,0.001084636],"study_design_scores_gemma":[0.00004046511,0.000008236757,0.00001911596,0.00003954626,0.001125614,0.0001410673,0.00004345694,0.00008054079,0.6937433,0.008412574,0.2959339,0.0004121565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9451124,0.003779807,0.003809408,0.0002573582,0.04173373,0.001573726,0.00003058248,0.000370244,0.003332753],"genre_scores_gemma":[0.8243038,0.00007852092,0.1476104,0.0001134721,0.0005221248,0.003138626,0.001603031,0.0001335446,0.02249647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2949002,"threshold_uncertainty_score":0.9998463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06751944113756168,"score_gpt":0.3023315254959694,"score_spread":0.2348120843584077,"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."}}