{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001626999,0.0003628924,0.0004565657,0.0001558331,0.0001391412,0.0002077655,0.0008277748,0.0003188512,0.0002022495],"category_scores_gemma":[0.000644332,0.000360625,0.0001653225,0.0002285978,0.0002076502,0.0001717222,0.0007552999,0.0006701851,0.00002058948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001110827,"about_ca_system_score_gemma":0.00006709948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002223354,"about_ca_topic_score_gemma":0.00009046132,"domain_scores_codex":[0.9972422,0.00103974,0.0005880046,0.0005065647,0.0002978285,0.0003257324],"domain_scores_gemma":[0.9965789,0.0008151014,0.0002738604,0.00114204,0.001009337,0.0001807092],"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":[0.00009638153,0.001510134,0.005516659,0.005023821,0.001167965,0.00003202312,0.09677492,0.001318376,0.7102848,0.02736217,0.05429648,0.09661627],"study_design_scores_gemma":[0.0003816089,0.000001052285,0.0003702195,0.005419713,0.00005243637,0.000003797969,0.0003732212,0.285805,0.6968909,0.001515722,0.008593814,0.0005925727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539354,0.001236397,0.01635272,0.0004988101,0.0005155822,0.0002827214,0.0001303186,0.0003217421,0.02672628],"genre_scores_gemma":[0.9906436,0.0004180812,0.006811707,0.00003382046,0.00003655241,0.0000241919,0.0004592123,0.00006752523,0.001505284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2844866,"threshold_uncertainty_score":0.9998845,"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."}}