{"id":"W2517214291","doi":"10.1038/srep31903","title":"All-optical analog comparator","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Optical Network Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"Taiyuan University of Technology; National Natural Science Foundation of China","keywords":"Comparator; Computer science; SIGNAL (programming language); Analog signal; Electronic engineering; Optoelectronics; Physics; Computer hardware; Digital signal processing; Voltage; 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":[0.000648652,0.0004292457,0.0003289328,0.0007111707,0.0005095626,0.002148985,0.001745211,0.0007588504,0.0118418],"category_scores_gemma":[0.002060674,0.0002004102,0.0002144565,0.0005673151,0.0005517232,0.00225805,0.0007229339,0.0005385643,0.001317687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007719598,"about_ca_system_score_gemma":0.0005585912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002710499,"about_ca_topic_score_gemma":0.0004231794,"domain_scores_codex":[0.9991058,0.0001131209,0.00007367054,0.0001900299,0.0004372575,0.00008007851],"domain_scores_gemma":[0.998821,0.0003458104,0.0001463875,0.0002140461,0.0004171866,0.00005555957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001301993,0.0002835428,0.002269657,0.001364212,0.0001124925,0.0007269384,0.0003695356,0.01012997,0.4138508,0.1432796,0.01147983,0.4148314],"study_design_scores_gemma":[0.0001814246,0.0008896564,0.001576753,0.0002592738,0.0001680101,0.002155757,0.0002174494,0.1320066,0.6647518,0.04754666,0.150121,0.0001257686],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09819715,0.002290839,0.8065047,0.0009302897,0.001966389,0.0004429625,0.000775149,0.005212845,0.08367966],"genre_scores_gemma":[0.845237,0.0005335193,0.1364343,0.0007197893,0.0002500178,0.0001373393,0.0002242691,0.0001719237,0.01629186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0118418,"threshold_uncertainty_score":0.0396148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573513586113992,"score_gpt":0.2303657264189595,"score_spread":0.2146305905578196,"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."}}