{"id":"W4289875222","doi":"","title":"Is Laser Technology Ready for Precision Tuning of Emission Wavelength of Arrays of Semiconductor Quantum Dots?","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; Quantum dot laser; Optoelectronics; Laser; Wavelength; Semiconductor laser theory; Semiconductor; Materials science; Physics; Optics","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":[0.001439212,0.0002866914,0.0005694491,0.0003054779,0.0004780306,0.002000733,0.0006588378,0.003073197,0.009635563],"category_scores_gemma":[0.0023261,0.0003687248,0.0004490273,0.0003052878,0.001395841,0.004437278,0.000673764,0.002072712,0.002065144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008841294,"about_ca_system_score_gemma":0.0007571969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003391674,"about_ca_topic_score_gemma":0.0003309371,"domain_scores_codex":[0.999442,0.00006094277,0.00002362617,0.000140486,0.0002189533,0.0001140015],"domain_scores_gemma":[0.999015,0.0004750323,0.00009508886,0.0001184259,0.0002153101,0.00008119331],"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":[0.0005204016,0.0002106572,0.002006699,0.00207558,0.00009193751,0.0006182139,0.0004261404,0.004205222,0.3418456,0.3779245,0.03705692,0.2330182],"study_design_scores_gemma":[0.0000863376,0.0003542723,0.003097179,0.0002928961,0.00007247974,0.0009216334,0.0007818606,0.008894611,0.2109895,0.4085553,0.3658143,0.0001396075],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1909005,0.119759,0.3041705,0.2470142,0.01498223,0.0001262912,0.0008025983,0.002163657,0.1200809],"genre_scores_gemma":[0.8083401,0.04973327,0.0702437,0.01171223,0.008264717,0.0001991804,0.0005664736,0.0004906097,0.05044962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009635563,"threshold_uncertainty_score":0.03223419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02437238822632693,"score_gpt":0.2531848831343281,"score_spread":0.2288124949080012,"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."}}