{"id":"W4234796572","doi":"10.31219/osf.io/pcuja","title":"RF arbitrary waveform generator","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada; Chinese Academy of Sciences; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Sawtooth wave; Waveform; Arbitrary waveform generator; Chirp; Comb generator; Signal generator; Duty cycle; Bandwidth (computing); Optics; Radio frequency; Frequency comb; Physics; Square (algebra); Computer science; Laser; Telecommunications; Mathematics; Power (physics); Voltage; Radar","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000284039,0.0003272612,0.0002554154,0.0003414176,0.0002381431,0.0004358783,0.0008686392,0.0005125663,0.006139381],"category_scores_gemma":[0.0006211451,0.0001988421,0.0001399024,0.0004235598,0.0003067594,0.0005808264,0.0005424057,0.0005578508,0.00320256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000246836,"about_ca_system_score_gemma":0.0001477505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007774578,"about_ca_topic_score_gemma":0.0001118595,"domain_scores_codex":[0.9995372,0.00005344639,0.00002322142,0.00008741595,0.000249267,0.00004946043],"domain_scores_gemma":[0.9996544,0.00007874156,0.00006683048,0.00008102506,0.00008933691,0.00002963037],"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":[0.0001968164,0.00009625595,0.0007067873,0.0002400928,0.00002671127,0.0003977367,0.0001047309,0.003296222,0.7756618,0.04090005,0.008824868,0.1695479],"study_design_scores_gemma":[0.00008865388,0.0003823545,0.00101131,0.00002431951,0.00002152466,0.001386666,0.00002228322,0.0663859,0.8155148,0.004269997,0.1108389,0.00005329767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1292077,0.001261006,0.7899188,0.0009747364,0.0008285698,0.0004966412,0.001023532,0.005914827,0.0703742],"genre_scores_gemma":[0.6629238,0.0005217413,0.3046663,0.000503691,0.0002845293,0.0004166509,0.001032053,0.0005184911,0.02913271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006139381,"threshold_uncertainty_score":0.02053821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02211978118689571,"score_gpt":0.2553993269697754,"score_spread":0.2332795457828797,"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."}}