{"id":"W4289752961","doi":"","title":"Iterative tuning of InAs quantum dot emission wavelength by IR laser intermixing","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Quantum dot; Optoelectronics; Laser; Wavelength; Quantum dot laser; Materials science; Physics; Semiconductor laser theory; Optics; Semiconductor","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":[0.0003300353,0.000353425,0.0003375323,0.0002532761,0.0004358312,0.0006035526,0.0004874234,0.0002858805,0.002417154],"category_scores_gemma":[0.0007552232,0.0002976419,0.0002705114,0.0003225343,0.0003495377,0.0007034822,0.0007727686,0.0003798836,0.0004156397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005830484,"about_ca_system_score_gemma":0.0003346989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006372372,"about_ca_topic_score_gemma":0.001909779,"domain_scores_codex":[0.9997395,0.00002790935,0.00001535927,0.0000931131,0.00008171384,0.00004239028],"domain_scores_gemma":[0.9996153,0.00015324,0.0000754603,0.00008580393,0.0000493796,0.00002088249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002968517,0.00009549051,0.0009422832,0.00009511878,0.00002844865,0.0000463141,0.0002853233,0.006908973,0.9501308,0.001539159,0.0001563468,0.03947485],"study_design_scores_gemma":[0.00003716565,0.0001684965,0.001718168,0.00001038633,0.00002468038,0.00005553647,0.00007599586,0.08578888,0.9085215,0.0007991249,0.002774596,0.00002545054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8493746,0.000403454,0.1361559,0.0001794417,0.00007915303,0.0001073896,0.00007488066,0.001041377,0.01258377],"genre_scores_gemma":[0.9514695,0.00007371278,0.04596249,0.00002979228,0.000007633798,0.00003156539,0.00002539886,0.000106021,0.002293942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002417154,"threshold_uncertainty_score":0.008086145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275112635667994,"score_gpt":0.2266688078321013,"score_spread":0.2139176814754214,"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."}}