{"id":"W4248130546","doi":"10.31224/osf.io/dybj8","title":"Advances in Bianisotropic GSTC-based Metasurfaces","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Series (stratigraphy); Geology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008031763,0.0003668156,0.0008150775,0.0001258815,0.00008736835,0.0004099203,0.0006562826,0.0002364589,0.006679065],"category_scores_gemma":[0.00009491521,0.0003128542,0.0001555886,0.0002280255,0.0000907671,0.0002214023,0.0004470017,0.0002354704,0.000295036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006826072,"about_ca_system_score_gemma":0.0003382413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004367532,"about_ca_topic_score_gemma":0.0008566311,"domain_scores_codex":[0.9972119,0.0003135762,0.0007282453,0.0009335218,0.0004014318,0.0004113335],"domain_scores_gemma":[0.9982966,0.0001053125,0.0003338114,0.00102465,0.000129496,0.0001101109],"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":[0.00001189586,0.0001494971,0.0004395641,0.0003544829,0.000007617641,0.00001107034,0.00006066062,0.02591184,0.9709808,0.00105499,0.00009184099,0.0009258079],"study_design_scores_gemma":[0.0004146647,0.00002268066,0.001146899,0.0002071831,0.0000778359,0.000001543581,0.0001589714,0.00159986,0.9668481,0.001708773,0.02721753,0.000595918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768468,0.009747457,0.006891798,0.0003788412,0.001616162,0.0005869126,0.0001054454,0.0001605833,0.003665976],"genre_scores_gemma":[0.8552418,0.002273341,0.141295,0.000249833,0.00006001377,0.0004007177,0.0001642409,0.00004019505,0.0002748377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1344032,"threshold_uncertainty_score":0.9999323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02583196003150372,"score_gpt":0.2920107399459129,"score_spread":0.2661787799144091,"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."}}