{"id":"W1490516834","doi":"10.1109/leos.1994.586981","title":"Optical backplane demonstrators based on FET-SEED smart pixel arrays","year":2002,"lang":"en","type":"article","venue":"","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Backplane; Pixel; Printed circuit board; Interconnection; Computer science; Electronic engineering; Optoelectronics; Optical switch; Electrical engineering; Materials science; Computer hardware; Engineering; Telecommunications; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005576177,0.0001892783,0.0001787757,0.00006641335,0.00003951192,0.00005158695,0.0001293971,0.0001187204,0.003003474],"category_scores_gemma":[0.0000262279,0.0001573277,0.00006820537,0.0001471041,0.00004491466,0.00007914683,0.000007359869,0.0001954178,0.00124904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003147396,"about_ca_system_score_gemma":0.000004085571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004868901,"about_ca_topic_score_gemma":0.000009421552,"domain_scores_codex":[0.9990966,0.000009734881,0.0001888712,0.0001928022,0.0001835126,0.0003285051],"domain_scores_gemma":[0.9993845,0.0001444089,0.00000918202,0.0002316802,0.00001568766,0.0002144957],"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":[0.0002060379,0.002225017,0.05010808,0.0008932165,0.0007041975,0.0006053405,0.000501032,0.1851725,0.4786429,0.06135075,0.1795557,0.0400352],"study_design_scores_gemma":[0.000687287,0.0001357854,0.003156132,0.00004103385,0.00002760793,0.000007001644,0.00006800303,0.9572945,0.02642,0.00005856515,0.01161133,0.0004928102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6286075,0.0001289854,0.003744497,0.0003066948,0.0005790265,0.0001476511,0.00001070202,0.0007288976,0.3657461],"genre_scores_gemma":[0.9947507,0.00001181721,0.004174095,0.0005322296,0.00009447761,0.000004070178,0.00000818028,0.00003171872,0.0003927568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7721219,"threshold_uncertainty_score":0.9995286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138811422534399,"score_gpt":0.1844318233569931,"score_spread":0.1705506811035532,"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."}}