{"id":"W2612063827","doi":"10.1364/cleo_at.2017.jtu5a.127","title":"Etch-tuning and Design of SiN Photonic Crystal Reflectors","year":2017,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"","keywords":"Photonic crystal; Reflector (photography); Collimated light; Optics; Optoelectronics; Materials science; Hydrofluoric acid; Resonance (particle physics); Etching (microfabrication); Crystal (programming language); Computer science; Physics; Nanotechnology; Laser; Light source","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":[],"consensus_categories":[],"category_scores_codex":[0.0001170971,0.0001610137,0.0002323339,0.00004587683,0.0001497497,0.0001189368,0.0001506615,0.00009680667,0.00001796862],"category_scores_gemma":[0.00004200508,0.0001470221,0.00002394915,0.00003317548,0.0001611468,0.0001237441,0.00003275796,0.0002003279,0.000002564694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001854397,"about_ca_system_score_gemma":0.0000419697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001428061,"about_ca_topic_score_gemma":0.00001272952,"domain_scores_codex":[0.9992709,0.00001464464,0.0001512468,0.0001705421,0.0001014042,0.0002913246],"domain_scores_gemma":[0.9994855,0.000072797,0.00005488998,0.0002413161,0.00003794741,0.0001075578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002067595,0.00007324772,0.0005859904,0.0003731125,0.000202329,0.00003528438,0.0006497623,0.001422748,0.8997865,0.08358452,0.000204753,0.01287503],"study_design_scores_gemma":[0.000787935,0.0007245062,0.001323896,0.0002074866,0.00007179241,0.00001212319,0.000151891,0.8145901,0.1767593,0.004557555,0.0003583392,0.0004550748],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724047,0.0003847941,0.004780773,0.0001085422,0.00009140742,0.0001554085,0.000008084804,0.00006794967,0.02199835],"genre_scores_gemma":[0.9967914,0.001802895,0.001240334,0.00003246367,0.00001870018,0.000005476812,0.000002203056,0.00001754709,0.00008899016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8131674,"threshold_uncertainty_score":0.5995389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03269919808283282,"score_gpt":0.2569052022249903,"score_spread":0.2242060041421575,"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."}}