{"id":"W4379417650","doi":"10.14209/sbrt.2000.5040068","title":"Simulação do Desempenho de Chaves Eletro-ópticas Utilizando Amplificadores Ópticos a Semicondutor","year":2000,"lang":"pt","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"ASTER","funders":"","keywords":"Humanities; Art","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":[0.0003292343,0.0004845673,0.0003323802,0.0002855225,0.0002216044,0.0004018042,0.0004220651,0.0007637907,0.002588693],"category_scores_gemma":[0.001474741,0.0002352304,0.0002835407,0.0002339319,0.0003848624,0.0004171072,0.0001683497,0.0003524956,0.000167987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003537583,"about_ca_system_score_gemma":0.0002769254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00285304,"about_ca_topic_score_gemma":0.002517914,"domain_scores_codex":[0.9998679,0.00002080336,0.000005550592,0.00002705497,0.00005015821,0.00002841416],"domain_scores_gemma":[0.9986967,0.0009081341,0.0001073145,0.00008429436,0.000171541,0.00003204782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00104333,0.0002657491,0.005531504,0.0002869029,0.00009870531,0.000414561,0.000402689,0.8421051,0.1138681,0.00153795,0.0006697647,0.03377559],"study_design_scores_gemma":[0.00004175987,0.0002514351,0.002952108,0.00001296091,0.0000249799,0.00006582224,0.00006561861,0.9356862,0.05999387,0.0002680638,0.0006227745,0.00001436087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798938,0.00006757182,0.01657394,0.0000834567,0.00002940553,0.00001738582,0.0001057714,0.0003552548,0.002873415],"genre_scores_gemma":[0.9966438,0.00002939082,0.002563077,0.000009921224,0.000002100699,0.000007394093,0.00002778427,0.00003187692,0.0006846471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00285304,"threshold_uncertainty_score":0.008660018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172899366140167,"score_gpt":0.263259115845986,"score_spread":0.2459691792319693,"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."}}