{"id":"W3133566148","doi":"10.1117/12.2578594","title":"Narrow linewidth semiconductor DFB laser with linear frequency modulation for FMCW LiDAR","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"TeraXion (Canada)","funders":"","keywords":"Laser linewidth; Optics; Laser; Lidar; Materials science; Waveform; Distributed feedback laser; Fiber laser; Semiconductor laser theory; Photonics; Modulation (music); Optoelectronics; Frequency modulation; Amplitude modulation; Physics; Radar; Telecommunications; Computer science; Radio frequency; Acoustics","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":[],"consensus_categories":[],"category_scores_codex":[0.00002748783,0.0001321395,0.0001515953,0.00002260907,0.00007894846,0.00002668863,0.00007638154,0.00005406492,0.0001819727],"category_scores_gemma":[0.00003721043,0.0001028966,0.00005371863,0.000151016,0.00005060567,0.0001468462,0.00003502587,0.0001163992,0.00001999442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001972157,"about_ca_system_score_gemma":0.00004764177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002174897,"about_ca_topic_score_gemma":0.000008377061,"domain_scores_codex":[0.9992765,0.000008204187,0.0001413,0.0002705634,0.00008499932,0.0002184373],"domain_scores_gemma":[0.9993666,0.00007018371,0.00004944281,0.0002832615,0.0001874198,0.00004308446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001553068,0.0005993058,0.03555313,0.00006831152,0.000331031,0.00002470628,0.0001963858,0.01015924,0.40424,0.4632433,0.002478411,0.08295084],"study_design_scores_gemma":[0.001220528,0.0002525081,0.0005140411,0.00004541382,0.00004965784,0.000003558454,0.0005297174,0.01372788,0.8088581,0.1662036,0.008062485,0.0005324942],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6964216,0.00002481715,0.2982532,0.001140227,0.00008693506,0.0002180907,0.00003418513,0.0002691992,0.003551757],"genre_scores_gemma":[0.6548002,3.253781e-7,0.3434704,0.00005062076,0.0001398679,0.00001138738,0.00006545686,0.00001707575,0.001444695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4046181,"threshold_uncertainty_score":0.4196001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600887618452894,"score_gpt":0.2585371646486924,"score_spread":0.2425282884641634,"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."}}