{"id":"W2056574819","doi":"10.1117/12.561087","title":"1.5-μm optical up-conversion: wafer fusion and related issues","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Wafer; Optoelectronics; Materials science; Photodetector; Energy conversion efficiency; Infrared; Quantum efficiency; Optics; Diode; Light-emitting diode; Physics","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":[0.0002626148,0.0003200744,0.0004044843,0.00007554286,0.0001204787,0.00009117233,0.0005676713,0.0002066592,0.00002574735],"category_scores_gemma":[0.0002611642,0.0002599047,0.0003965589,0.0002751904,0.000479519,0.0004832866,0.0003244699,0.0004285184,0.000004278004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001100976,"about_ca_system_score_gemma":0.00002206809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001666648,"about_ca_topic_score_gemma":3.727166e-8,"domain_scores_codex":[0.9981337,9.07806e-9,0.0005486672,0.0004236854,0.0004861525,0.0004077998],"domain_scores_gemma":[0.9986402,0.0001035272,0.0002367257,0.00006904952,0.000826532,0.0001239672],"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":[0.0000508125,0.00008711062,0.0004154083,0.00009330294,0.0002284149,1.2434e-7,0.0001216983,0.0001019888,0.220939,0.7765949,0.0005371946,0.0008300027],"study_design_scores_gemma":[0.004385497,0.000776183,0.002292378,0.0008561616,0.0003816118,0.00003533926,0.004780426,0.01135243,0.8149351,0.1520738,0.007039883,0.001091159],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896125,0.00009513545,0.0001311055,0.005933052,0.000230353,0.0003653628,0.00001798378,0.0001568385,0.003457723],"genre_scores_gemma":[0.840835,0.00006004636,0.1583902,0.00004212804,0.0002355848,0.0000348681,0.000007877245,0.00005114569,0.0003430842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6245211,"threshold_uncertainty_score":0.9999853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007961190904147387,"score_gpt":0.2271972277111005,"score_spread":0.2192360368069531,"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."}}