{"id":"W2011515578","doi":"10.1016/j.optcom.2005.07.069","title":"A self-consistent analysis of semiconductor laser rate equations for system simulation purpose","year":2005,"lang":"en","type":"article","venue":"Optics Communications","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Chirp; Rate equation; SIGNAL (programming language); Semiconductor laser theory; Laser; Computation; Optics; Sensitivity (control systems); Range (aeronautics); Laser diode rate equations; Diode; Semiconductor; Physics; Computational physics; Computer science; Materials science; Algorithm; Classical mechanics; Electronic engineering; Optoelectronics; Injection seeder","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":[0.001185898,0.0004421685,0.0008149854,0.0005808126,0.0007827183,0.0009571713,0.001633793,0.001278154,0.004703904],"category_scores_gemma":[0.004308473,0.0005324492,0.0009318428,0.0005566353,0.0009349042,0.001363241,0.00088761,0.001469747,0.0006255452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006853035,"about_ca_system_score_gemma":0.001704283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004393949,"about_ca_topic_score_gemma":0.002666055,"domain_scores_codex":[0.9996858,0.0001220527,0.00001251427,0.00002308811,0.0001247372,0.00003184947],"domain_scores_gemma":[0.9988155,0.0006009057,0.00007555274,0.0001548854,0.0002883786,0.00006467917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003665437,0.00009193191,0.0004051085,0.00008159939,0.000038229,0.0001058548,0.00007137031,0.7579688,0.003757807,0.2310321,0.001219224,0.005191229],"study_design_scores_gemma":[0.000005063496,0.000003339972,0.00002565114,0.000002554893,0.000002482653,0.000004817731,0.000003362978,0.9941583,0.0001830004,0.005378129,0.0002306259,0.000002627203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06853381,0.0004292548,0.9041376,0.001060276,0.0002453644,0.0001758989,0.0002046855,0.0003969794,0.02481625],"genre_scores_gemma":[0.8310216,0.0005827458,0.1482801,0.000614122,0.000231067,0.0006522778,0.0003324247,0.0006216555,0.0176641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004703904,"threshold_uncertainty_score":0.01573616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03879307998389388,"score_gpt":0.2825016511405721,"score_spread":0.2437085711566782,"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."}}