{"id":"W2944688130","doi":"10.23919/cleo.2019.8750584","title":"Laser cooling of semiconductors traced in the time domain","year":2019,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Optical properties and cooling technologies in crystalline materials","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Semiconductor; Laser cooling; Laser; Refrigeration; Nanosecond; Materials science; Optoelectronics; Semiconductor laser theory; Heterojunction; Rare earth; Doping; Optics; Physics; Metallurgy; Thermodynamics","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":[0.0002189079,0.0001395609,0.0002399003,0.00004012174,0.00003901107,0.00005583891,0.0002416291,0.00006311247,0.0002427784],"category_scores_gemma":[0.000009380542,0.00009195951,0.00004062433,0.00009831858,0.0000978955,0.00004963678,0.0000494564,0.0002033093,0.00002209873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000086129,"about_ca_system_score_gemma":0.00003540552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001858727,"about_ca_topic_score_gemma":6.661955e-7,"domain_scores_codex":[0.9991791,0.00004190807,0.0002245283,0.0001842356,0.0001091019,0.0002611043],"domain_scores_gemma":[0.9995171,0.00009028202,0.00007693024,0.0002512967,0.00003845074,0.00002593718],"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":[0.0003432104,0.0003928656,0.002654954,0.00009131169,0.0001014509,0.00000493291,0.0007346542,0.0005209626,0.45824,0.5263889,0.0005772615,0.009949409],"study_design_scores_gemma":[0.004819619,0.003814452,0.0005378795,0.0006143961,0.0001372474,0.0000077358,0.01174198,0.07309705,0.6040844,0.2953694,0.004049025,0.001726774],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909349,0.00001698013,0.0001155988,0.0004122963,0.00004881046,0.0001939748,0.00001362437,0.00001886239,0.008244921],"genre_scores_gemma":[0.9992082,0.0000245931,0.0003708643,0.00008503479,0.00003928975,0.000009021148,0.00001011731,0.00001003231,0.000242919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2310195,"threshold_uncertainty_score":0.375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134617561429444,"score_gpt":0.2316770486432942,"score_spread":0.2182152925003498,"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."}}