{"id":"W2594733328","doi":"10.1103/physreva.75.035802","title":"Electronic noise in optical homodyne tomography","year":2007,"lang":"en","type":"article","venue":"Physical Review A","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Narrowband; Physics; Detector; Optics; Homodyne detection; Direct-conversion receiver; Noise (video); Noise temperature; Noise generator; Noise floor; Noise measurement; Noise figure; Optoelectronics; Phase noise; Noise reduction; Acoustics; Computer science","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":[0.002885375,0.0005864153,0.0006872382,0.0008278736,0.0005220613,0.00183078,0.001003071,0.001389805,0.0008064758],"category_scores_gemma":[0.01011105,0.0004762668,0.0002485287,0.0007712142,0.00377442,0.002797089,0.002069825,0.001408896,0.0002108609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116428,"about_ca_system_score_gemma":0.0004856326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005916244,"about_ca_topic_score_gemma":0.000486917,"domain_scores_codex":[0.9983188,0.0006595253,0.00005651905,0.0002222857,0.0006553927,0.00008746973],"domain_scores_gemma":[0.9965648,0.002770799,0.0002128778,0.0002225334,0.000170973,0.00005799853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003440678,0.00006770992,0.003625579,0.0003620726,0.00005398074,0.0005739782,0.0003188008,0.08216912,0.05242357,0.8229677,0.0006186047,0.0364748],"study_design_scores_gemma":[0.00007498485,0.000191435,0.003893221,0.0002303341,0.00005849831,0.001211057,0.000143711,0.5046306,0.04834649,0.4368062,0.004293042,0.0001204517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1547758,0.007666081,0.8128288,0.001982959,0.0002640544,0.00008768396,0.0001104201,0.000279502,0.02200473],"genre_scores_gemma":[0.9158276,0.004255769,0.07460921,0.000394338,0.0001894714,0.0001224251,0.00008266318,0.00009764359,0.004420972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002885375,"threshold_uncertainty_score":0.0152595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082267409101105,"score_gpt":0.3350110453412773,"score_spread":0.3241883712502663,"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."}}