{"id":"W3014173467","doi":"10.1117/12.2555339","title":"Improving silicon nitride ring resonator performances on 300 mm industrial environment for point of care applications (Conference Presentation)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Resonator; Materials science; Plasmon; Optoelectronics; Silicon nitride; Photonics; Waveguide; Sensitivity (control systems); Dielectric; Silicon photonics; Optical ring resonators; Fabrication; Silicon; Electronic engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004518513,0.0004853959,0.000388154,0.000160786,0.0001395353,0.0004030227,0.0006112378,0.000586686,0.00260269],"category_scores_gemma":[0.0005045393,0.0002474279,0.0003260713,0.0001254281,0.0001438664,0.0004123544,0.0002432027,0.0003447812,0.001574821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004382095,"about_ca_system_score_gemma":0.0001458476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004229886,"about_ca_topic_score_gemma":0.0008595502,"domain_scores_codex":[0.9996087,0.00003120876,0.00001597183,0.000122577,0.0001689282,0.00005266005],"domain_scores_gemma":[0.9996397,0.00008628599,0.00008434515,0.00003696054,0.0001290147,0.0000235415],"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":[0.00003229228,0.00001366525,0.00007727515,0.00003097313,0.000002900736,0.00002067029,0.00001764148,0.0001136565,0.9978439,0.00004635043,0.000182924,0.001617862],"study_design_scores_gemma":[0.000006044542,0.0002365651,0.0008159634,0.000002487858,0.000006896254,0.00004074876,0.0000152085,0.001457102,0.995878,0.000009211571,0.001524245,0.000007635503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.979448,0.001748688,0.01208633,0.0002301464,0.0002876946,0.00005051641,0.000319813,0.0006748735,0.005153888],"genre_scores_gemma":[0.9533207,0.001107466,0.03448328,0.000115518,0.00005971538,0.00004846643,0.0003596676,0.0001661386,0.01033904],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.00260269,"threshold_uncertainty_score":0.008706868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0343645381026606,"score_gpt":0.2479247470993018,"score_spread":0.2135602089966412,"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."}}