{"id":"W4386176065","doi":"10.1364/ome.504314","title":"Reconfigurable Photonic Platforms feature issue: publisher’s note","year":2023,"lang":"en","type":"article","venue":"Optical Materials Express","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Photonics; Feature (linguistics); Materials science; Optics; Computer science; Optoelectronics; Nanotechnology; Physics","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000519707,0.0002413766,0.0003530254,0.0001004406,0.0002370127,0.001824323,0.001442477,0.0002105257,0.0002575202],"category_scores_gemma":[0.00008615009,0.0001797891,0.00008052316,0.0005799512,0.00005690943,0.0009571362,0.0006260349,0.0002335121,0.0007842974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002850892,"about_ca_system_score_gemma":0.00003797692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001959835,"about_ca_topic_score_gemma":0.000001050598,"domain_scores_codex":[0.9978386,0.00004193209,0.0003240459,0.0006084241,0.0003723911,0.0008146577],"domain_scores_gemma":[0.9986645,0.0001813419,0.00009329629,0.0007653768,0.00007465925,0.0002208216],"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":[0.00005380586,0.00007316529,0.00001405575,0.0001610936,0.00003576493,0.0003151771,0.0002910979,0.001892584,0.6242152,0.03128875,0.3264406,0.01521871],"study_design_scores_gemma":[0.001059961,0.0002181838,0.0005693118,0.000313982,0.00001462714,0.0001044644,0.00003931703,0.04506649,0.6512899,0.02072231,0.2794786,0.001122777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9070958,0.0001838426,0.01639147,0.01491602,0.01747146,0.001004265,0.00002374306,0.003097973,0.03981536],"genre_scores_gemma":[0.9486673,0.0001065642,0.03042803,0.001135911,0.001731886,0.00009917327,0.00005580501,0.00007820973,0.01769713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04696199,"threshold_uncertainty_score":0.9999937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684965445630759,"score_gpt":0.2524922422817438,"score_spread":0.2356425878254362,"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."}}