{"id":"W2004982993","doi":"10.1016/j.optcom.2005.01.036","title":"A behavioral approach to model thermal sensitivity of semiconductor lasers","year":2005,"lang":"en","type":"article","venue":"Optics Communications","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Rate equation; Computation; Laser; Thermal; Semiconductor laser theory; Semiconductor; Steady state (chemistry); Physics; Optics; Laser power scaling; Power (physics); Reduction (mathematics); Semiconductor device; Computational physics; Materials science; Computer science; Optoelectronics; Quantum mechanics; Mathematics; Thermodynamics; Algorithm","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":[0.0008342714,0.0007524273,0.0005352688,0.0006195434,0.0004775124,0.0009721673,0.001646751,0.001323351,0.002694109],"category_scores_gemma":[0.002668203,0.0005244099,0.0008836283,0.000333173,0.001065523,0.001341459,0.0008246346,0.001399174,0.0003275081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259689,"about_ca_system_score_gemma":0.001083563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007724014,"about_ca_topic_score_gemma":0.005345991,"domain_scores_codex":[0.9995864,0.0001475288,0.00001402957,0.00005219793,0.0001222485,0.00007750938],"domain_scores_gemma":[0.9991527,0.0004735024,0.00008219901,0.00007595179,0.0001700112,0.00004576181],"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":[0.00002570894,0.0001001841,0.0004023215,0.00003302766,0.00002690918,0.0000735455,0.00007940079,0.8744606,0.005515576,0.1147472,0.0003942292,0.004141261],"study_design_scores_gemma":[0.000001789144,0.000005669472,0.00004129932,0.000001547812,0.00000398311,0.000005211926,0.000004174973,0.9904097,0.0002128951,0.009193045,0.000117779,0.000002848996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07883883,0.0003834433,0.8950497,0.0009823213,0.0001118422,0.00008111091,0.0001506835,0.0002580211,0.02414405],"genre_scores_gemma":[0.964405,0.000385761,0.02519786,0.000204015,0.0000741296,0.0001256124,0.00005485086,0.00008197038,0.009470648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007724014,"threshold_uncertainty_score":0.01535809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05340345010162933,"score_gpt":0.2808062508709235,"score_spread":0.2274028007692942,"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."}}